JP7673231B2 - Data transmission method, device, equipment and storage medium - Google Patents

Description

This application claims priority to a Chinese patent application with application number CN202110350530.9, filed with the China National Intellectual Property Office on March 31, 2021, the entire contents of which are incorporated herein by reference.

The present disclosure relates to the field of communications technology, and in particular to data transmission methods, devices, equipment, and storage media.

When transmitting data in a communication system, network equipment must map downstream data to the corresponding time-frequency resource and antenna port before transmitting it. When transmitting downstream data, commonly used waveform methods include codebook transmission and non-codebook transmission.

When performing layer mapping, the maximum downstream transmission power of a network device is constant, and the total power must be allocated to multiple transport layers. Typical allocation methods involve allocating on average or at a fixed rate. However, allocating on average does not take into account the performance differences in each transport layer during spatial transmission, limiting the performance of transport layers with small spatial feature values, resulting in a significantly higher bit error rate than transport layers with large spatial feature values, ultimately resulting in erroneous reception of the entire codeword. A method of allocating at a fixed rate has poor adaptability, as it cannot adapt to changes in available channels, i.e., the different ratios required for different channels.

By performing layer mapping in this way, the bit error rate of the weak-energy transport layer becomes significantly larger than the bit error rate of the strong-energy transport layer, resulting in an increase in the final block error rate and reduced data transmission efficiency.

An embodiment of the present disclosure provides a data transmission method, device, equipment, and storage medium that can improve data transmission efficiency and have high applicability.

A data transmission method according to a first aspect includes determining a frequency domain channel estimation matrix for each resource unit (RE) of a sounding reference signal (SRS);
determining a port correlation matrix corresponding to each subband in a band based on each of the frequency domain channel estimation matrices, and performing singular value decomposition on the port correlation matrix corresponding to each of the subbands to obtain a port feature value matrix corresponding to the subband;
determining a subband power coefficient for each subband corresponding to each transport layer and a band power coefficient for the band corresponding to each transport layer based on a port feature value matrix corresponding to each subband;
determining an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each of the subbands and a band power coefficient corresponding to the band;
and transmitting downlink data based on an amplitude coefficient corresponding to each of the PRBs.

A data transmission device according to a second aspect includes a first determination unit for determining a frequency domain channel estimation matrix of each resource unit RE of a sounding reference signal SRS;
a second determination unit that determines a port correlation matrix corresponding to each subband in a band based on each of the frequency domain channel estimation matrices, and performs singular value decomposition on the port correlation matrix corresponding to each of the subbands to obtain a port feature value matrix corresponding to the subband;
a third determination unit that determines a subband power coefficient of each of the subbands corresponding to each transport layer and a band power coefficient of the band corresponding to each of the transport layers based on a port feature value matrix corresponding to each of the subbands;
a fourth determination unit that determines an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each of the subbands and a band power coefficient corresponding to the band;
and a data transmitting unit that transmits downlink data based on an amplitude coefficient corresponding to each of the PRBs.

Electronic devices related to the third area include:
a memory for storing a computer program;
a transmitting/receiving unit for transmitting and receiving data under the control of the processor;
and a processor for reading the computer program in the memory and executing the method according to the first aspect.

The processor-readable storage medium according to the fourth aspect stores a computer program for causing the processor to execute the method according to the first aspect.

In an embodiment of the present disclosure, the port correlation matrix corresponding to each subband is subjected to singular value decomposition, and the amplitude coefficient corresponding to each PRB is determined based on the singular value decomposition result. This makes it possible to adapt to an available port environment when transmitting downlink data based on the amplitude coefficient corresponding to each PRB, improving data transmission efficiency and providing high applicability.

In order to make the technical solution in one embodiment of the present disclosure clearer, the following briefly introduces drawings required in the embodiment. The drawings in the following description are only some embodiments of the present disclosure, and it is obvious that those skilled in the art can obtain other drawings from these drawings without creative labor.
FIG. 2 is a flowchart illustrating a data transmission method according to an embodiment of the present disclosure. FIG. 1 illustrates a flow of data transmission when the transport layer is 4 according to an embodiment of the present disclosure. 1 is a diagram illustrating a configuration of a data transmission device according to an embodiment of the present disclosure. FIG. 1 is a diagram illustrating a configuration of an electronic device according to an embodiment of the present disclosure.

The term "and/or" in one embodiment of the present disclosure describes the related relationship of related objects, and may mean, for example, that there are three relationships, such as A and/or B, and that there are three situations, A alone, A and B simultaneously, and B alone. The character "/" generally indicates that the preceding and following related objects are in a kind of "or" relationship.

In one embodiment of this disclosure, the term "plurality" means two or more than two, and similarly for other terms.

One embodiment of the present disclosure will be described below explicitly and completely with reference to the drawings. It goes without saying that the described embodiment is only a part of the embodiments of the present disclosure and does not include all the embodiments. Based on the embodiment in the present disclosure, a person skilled in the art can make all other embodiments without creative ingenuity, which fall within the scope of the present disclosure.

Of these, the method and the device are based on the same application concept and have similar solution principles, so the implementations of the device and the method are mutually referenced and their descriptions will not be repeated.

The data transmission method according to an embodiment of the present disclosure may be applied to various communication systems, among which communication systems to which the communication method according to an embodiment of the present disclosure may be applied include a global system of mobile communication (GSM) system, a code division multiple access (CDMA) system, a wide band code division multiple access (WCDMA) general packet radio service (GPRS) system, an LTE system, an LTE frequency division duplex (FDD) system, an LTE time division duplex (TDU ... The system may be a time division duplex (TDD) system, a long term evolution advanced (LTE-A) system, a universal mobile telecommunication system (UMTS), a world wide interoperability for microwave access (WiMAX) system, a 5G system, etc. The system may include a core network portion such as an Evolved Packet System (EPS).

However, the data transmission method according to the embodiment of the present disclosure can be applied to the network devices in any of the above communication systems.

The network device according to the embodiment of the present disclosure may be a base station, also referred to as an access point depending on the specific operating situation, a device that communicates over the air interface with wireless terminal devices via one or more sectors in the access network, or may be called other names. The network device may exchange received air frames with IP (Internet Protocol) packets as a router between the wireless terminal devices and the rest of the access network including an IP (Internet Protocol) communication network. The network device may coordinate attribute management of the air interface.

For example, the network equipment according to the embodiment of the present disclosure may be a network equipment (Base Transceiver Station, BTS) in GSM or CDMA, a network equipment (NodeB) in WCDMA (registered trademark), an evolutionary Node B, eNB or e-NodeB in an LTE system, a 5G base station (gNB) in a 5G network architecture (next generation system), a HeNB (Home evolved NodeB), a relay node, a home base station (femto), a pico base station (pico), or an OM (Operational Maintenane) in an LTE system or an NR system. The system is not limited to the embodiment of the present disclosure. In some network configurations, the network device may include a converged unit (CU) node and a distributed unit (DU) node, and the converged unit (CU) node and the distributed unit (DU) node may be located geographically apart.

Here, the network device may transmit downlink data to a terminal device in the communication system based on a data transmission method according to an embodiment of the present disclosure.

The terminal device according to the embodiment of the present disclosure may be a device that provides voice and/or data connectivity to a user, a handheld device with wireless connectivity, or other processing device connected to a wireless modem. In other systems, the name of the terminal device may be different, but for example, in a 5G system, the terminal device may be called UE (User Equipment).

A wireless terminal device can communicate with one or more core networks (Core Networks, CNs) via a radio access network (RAN), and the wireless terminal device may be a mobile terminal device such as a mobile phone (or "cellular" phone) or a computer with a mobile terminal device, for example, a mobile, pager, handheld, computer-embedded or vehicle-mounted mobile device that exchanges language and/or data with the radio access network. Examples of such devices include Personal Communication Service (PCS) phones, cordless phones, Session Initiated Protocol (SIP) phones, Wireless Local Loop (WLL) stations, Personal Digital Assistants (PDAs), and the like. The wireless terminal device is also called a system, a subscriber unit, a subscriber station, a mobile station, a remote station, an access point, a remote terminal device, an access terminal device, a user terminal device, a user agent, or a user device, and is not limited to the embodiments of the present disclosure.

In an embodiment of the present disclosure, multi-input multi-output (Multi Input Multi Output) transmission can be performed between a network device and a terminal device using one or more antennas, and the MIMO transmission can be single user MIMO (SU-MIMO) or multi-user MIMO (MU-MIMO). Depending on the form and number of the combination of root antennas, the MIMO transmission can be 2D-MIMO, 3D-MIMO, FD-MIMO, or massive-MIMO, or it can be diversity transmission, precoding transmission, beamforming transmission, or the like.

Referring to FIG. 1, FIG. 1 is a diagram showing a flowchart of a data transmission method according to one embodiment of the present disclosure. As shown in FIG. 1, the data transmission method according to one embodiment of the present disclosure may include the following steps.

In step S11, a frequency domain channel estimation matrix for each resource unit (RE) of the sounding reference signal (SRS) is determined.

In some example embodiments, when determining the frequency domain channel estimation matrix for each RE of the SRS, the number of transmit antennas of the network device and the number of ports corresponding to the SRS may be determined.

Furthermore, a frequency domain channel estimation matrix for each RE of the SRS is determined based on the number of transmitting antennas of the network device and the number of ports corresponding to the SRS.

As an example, if the number of transmitting antennas of the network device is k _a and the SRS is arranged in an n-port round robin, the frequency domain channel estimation matrix H _k (dimension
(hereinafter referred to as "the number of the

As an example, if the terminal device is a 2T4R terminal, the SRS is arranged in a 4-port round robin, and the number of transmitting antennas of the network device is k _a , the frequency domain channel estimation matrix H _k of the k-th RE of the SRS is
) can be identified.

In step S12, a port correlation matrix corresponding to each subband in the band is determined based on each frequency domain channel estimation matrix, and for each subband, the port correlation matrix corresponding to the subband is subjected to singular value decomposition to obtain a port feature value matrix corresponding to the subband.

In some possible implementations, when identifying the port correlation matrix corresponding to each subband based on each frequency-domain channel estimation matrix, the port correlation matrix corresponding to each RE of the SRS may be identified first.

Specifically, for each RE, a port correlation matrix corresponding to the RE is determined based on the frequency domain channel estimation matrix corresponding to the RE. Here, when determining the port correlation matrix corresponding to each RE, a transpose matrix of the frequency domain channel estimation matrix of the RE may be determined, and the port correlation matrix corresponding to the RE may be determined from the transpose matrix corresponding to the frequency domain channel estimation matrix of the RE. In other words, the port correlation matrix corresponding to each RE of the SRS can be specified based on the above-mentioned aspect.

As an example, for a frequency domain channel estimation matrix H _k of the k-th RE of the SRS, the transpose matrix corresponding to the frequency domain channel estimation matrix of the RE is
Among these, the port correlation matrix corresponding to the RE is
It is.

Furthermore, for each subband, a port correlation matrix corresponding to the subband is determined from the physical resource block (PRB) corresponding to the subband, the RE corresponding to the subband, and the port correlation matrix corresponding to each RE corresponding to the subband.

Here, for each subband, the port correlation matrix corresponding to the subband can be specifically determined based on the number of PRBs included in the subband, the number of REs included in each PRB, and the port correlation matrix corresponding to each RE corresponding to the subband.

Here, the port matrix corresponding to each subband can be determined by the following equation.
where α is the subband index,
denotes the port correlation matrix of the α-th subband,
is the subband size, i.e., the number of PRBs included in the subband, M is the number of REs included in each PRB,
is the index of the first RE of the α-th subband.

The number of PRBs included in each subband may be determined based on the actual arrangement, and the number of REs included in each subband may also be determined based on the actual arrangement or protocol, and is not limited in the embodiments of the present disclosure.

As an example, if the number of REs included in each PRB is 6, the port correlation matrix corresponding to the α-th subband can be determined by the following equation.
In some possible implementation forms, after determining the port correlation matrix corresponding to each subband, the port correlation matrix corresponding to each subband can be subjected to singular value decomposition (SVD) to obtain the port feature value matrix corresponding to each subband.

As an example,
If denotes the port feature value matrix corresponding to the α-th subband, then the port feature value matrix corresponding to the α-th subband is
where SVD( ) represents the singular value decomposition operation.

In step S13, the subband power coefficients of each subband corresponding to each transport layer and the band power coefficients of the bands corresponding to each transport layer are determined based on the port feature value matrix corresponding to each subband.

Specifically, for each subband, the subband feature values corresponding to each transport layer are determined based on the port feature value matrix corresponding to the subband.

In some possible implementations, the transport layers are the respective transport layers corresponding to the case where the network device performs layer mapping. Here, the number of layers of the transport layer is determined by the rank of the channel, which indicates the number of channels in which the MIMO system is independent from each other in a certain wireless environment. The number of layers of the transport layer is equal to or less than the rank of the channel matrix and equal to or less than the number of antenna ports used in the physical channel transmission.

In some possible implementations, for each subband, a diagonal element of the port feature value matrix corresponding to that subband is identified, and from among the diagonal elements, a subband feature value corresponding to that transport layer is identified based on the number of transport layers.

Specifically, for the diagonal elements of the port feature value matrix corresponding to the subband, each diagonal element is sequentially determined as the subband feature value corresponding to each transport layer of the subband according to the arrangement order of each element in the diagonal element. For example, the first element of the diagonal elements is determined as the subband feature value corresponding to the first transport layer of the subband, and the second element of the diagonal elements is determined as the subband feature value corresponding to the second transport layer of the subband.

Here, the ordering corresponding to the diagonal elements is from the top left corner to the bottom right corner, and the number of diagonal elements is equal to or greater than the number of transport layers.

As an example, when the number of transport layers is 4, the diagonal elements of the port feature value matrix corresponding to one subband are
Then, the order of the diagonal elements of the matrix is
Further, the subband feature value corresponding to the transport layer _β1 of the subband is _A11 , the subband feature value corresponding to the transport layer _β2 is _A22 , the subband feature value corresponding to the transport layer β3 _{is A33} , and the subband feature value corresponding to the transport layer _β4 is _A44 . That is, this subband corresponds to the subband feature values of each transport layer.
As an example, when the number of transport layers is two, the diagonal elements of the port characteristic value matrix corresponding to one subband are
Then, the order of the diagonal elements of the matrix is
Further, the subband feature value corresponding to the transport layer _β1 of the subband is _A11 , and the subband feature value corresponding to the transport layer _β2 is _A22 . That is, the subband feature values corresponding to the transport layers of this subband are
It is.
As an example, the port feature value matrix corresponding to the α-th subband is
and the subband feature values corresponding to each transport layer of each subband obtained based on the diagonal elements are
where i represents the transport layer index, i=0, 1, 2, 3.

Furthermore, in some possible implementations, band feature values corresponding to bands in each transport layer can be determined based on subband feature values corresponding to each subband, and band power coefficients for bands corresponding to each transport layer can be determined based on each band feature value.

Here, the band characteristic value of the band corresponding to each transport layer is determined by the subband characteristic value of each subband corresponding to that transport layer.

Specifically, for each transport layer, the band characteristic value of the band corresponding to the transport layer can be determined by the subband characteristic value of the subband corresponding to the transport layer.

As an example, the subband feature value of the α-th subband corresponding to the transport layer i
If so, the band feature value of the band corresponding to the transport layer i
where α is the subband index, and N _NB represents the number of subbands.

According to the above implementation, the band characteristic values for the bands corresponding to each transport layer can be determined individually.

Specifically, when the band power coefficient of the band corresponding to each transport layer is determined based on the band characteristic value of the band corresponding to each transport layer, for each transport layer, the band power coefficient of the band corresponding to the transport layer can be determined based on the band characteristic value of the band corresponding to the transport layer, and the band power coefficient of the band corresponding to each transport layer can be obtained.

As an example, the band characteristic value of the band corresponding to the transport layer i is
Then, the band power coefficient of the band corresponding to the transport layer i is
It is.

As is clear from the above formula, for each transport layer, the band characteristic value of the band corresponding to the transport layer is inversely proportional to the band power coefficient of the band corresponding to the transport layer, and the larger the band characteristic value of the band corresponding to the transport layer, the better the channel conditions corresponding to the transport layer, and the smaller the band power coefficient corresponding to the transport layer. As a result, the band power coefficient of the band for each transport layer is determined in real time based on the corresponding band characteristic value, and the band power coefficient corresponding to each band is adjusted in different vacant environments.

In some possible implementations, for each subband, a subband amplitude coefficient for the subband corresponding to each transport layer can be determined based on the subband feature value corresponding to that subband.

Specifically, when determining the band power coefficient of each subband corresponding to each transport layer, for each subband, the subband power coefficient of the subband corresponding to each transport layer can be determined based on the subband feature value of the subband corresponding to each transport layer.

As an example, the subband feature value of the α-th subband corresponding to the transport layer i is
Then, the subband power coefficient of the subband corresponding to the transport layer i is
It is.

As is clear from the above formula, for each transport layer, the square root of the subband feature value of a certain subband corresponding to the transport layer is inversely proportional to the subband power coefficient of the subband corresponding to the transport layer, and the larger the subband feature value of the subband corresponding to the transport layer, the better the channel condition corresponding to the transport layer, and further, the subband power coefficient corresponding to the transport layer is relatively small. In contrast, the power of the transport layer with a small feature value can be increased to equalize the power with different channel conditions, thereby improving the performance of the entire system. As a result, the subband power coefficient corresponding to each transport layer for each subband can be determined in real time based on the corresponding subband feature value, and the subband power coefficient corresponding to each subband can be adjusted in different vacant environments.

In step S14, an amplitude coefficient corresponding to each physical resource block PRB is determined based on the subband power coefficient corresponding to each subband and the band power coefficient corresponding to the band.

In some possible implementations, after determining a subband power coefficient corresponding to each subband and a band power coefficient corresponding to the band, a subband amplitude coefficient corresponding to each subband may be determined based on the subband power coefficient corresponding to each subband, and a band amplitude coefficient corresponding to the band may be determined based on the band power coefficient corresponding to the band. Furthermore, an amplitude coefficient corresponding to each PRB may be determined based on the subband amplitude coefficient corresponding to each subband and the band amplitude coefficient corresponding to the band.

Specifically, for each transport layer, the band amplitude coefficient of the band corresponding to that transport layer is determined based on the band power coefficient of the band corresponding to that transport layer, and the band amplitude coefficient of the band corresponding to each transport layer can be obtained.

As an example, the band power coefficient of the band corresponding to the transport layer i is
Then, the band amplitude coefficient of the band corresponding to the transport layer i is
It is.

As an option, before determining the band amplitude coefficients of the bands corresponding to each transport layer, the band power coefficients of the bands corresponding to each transport layer can be normalized to obtain the band power coefficients of the normalized bands corresponding to each transport layer, and further, the band amplitude coefficients of the bands corresponding to each transport layer can be determined based on the band power coefficients of the normalized bands corresponding to each transport layer.

As an example, the band power coefficient of a band for transport layer i is
After normalization is performed on the band power coefficients of the bands for each transport layer, the corresponding normalized band power coefficients are
and furthermore, the normalized band power coefficients
Based on this, the band amplitude coefficient of the band corresponding to the transport layer i is
It is determined that

Specifically, for each transport layer, the subband amplitude coefficient of the subband corresponding to the transport layer may be determined based on the subband power coefficient of the subband corresponding to the transport layer, and the subband amplitude coefficient of the subband corresponding to each transport layer may be obtained.

The subband power coefficient of the α-th subband corresponding to the transport layer i is
Then, the subband amplitude coefficient of the subband corresponding to the transport layer i is
It is.

As an option, for each subband, before determining the subband amplitude coefficient of the subband corresponding to each transport layer, a normalization process is performed on the subband power coefficient of the subband corresponding to each transport layer to obtain the normalized subband power coefficient of the subband corresponding to each transport layer. Furthermore, the subband amplitude coefficient of the subband corresponding to each transport layer is determined based on the normalized subband power coefficient of the subband corresponding to each transport layer.

As an example, the subband power coefficient of the α-th subband corresponding to the transport layer i is expressed as
Then, after performing normalization processing on the subband power coefficients of the subbands corresponding to each transport layer, the corresponding normalized subband power coefficients are
Then, the normalized subband power coefficients
Based on this, the subband amplitude coefficient of the subband corresponding to the transport layer i is calculated as
It is determined as follows.

In some possible implementations, after performing layer mapping, the network equipment maps corresponding data for each transport layer to different subcarriers and different slots of different antenna ports to achieve diversity or multiplexing purposes. Therefore, after determining the subband amplitude coefficient corresponding to each subband and the band amplitude coefficient corresponding to the band, the network equipment can determine the amplitude coefficients corresponding to PRBs of different bandwidths based on the subband amplitude coefficient corresponding to each subband and the band amplitude coefficient corresponding to the band.

Specifically, for each PRB, it may be determined whether the PRB satisfies the SRS time domain condition and the frequency domain condition. If the PRB satisfies the SRS time domain condition and the SRS frequency domain condition, the subband amplitude coefficient of the subband in which the PRB is located, which corresponds to each transport layer, is determined as the amplitude coefficient of the PRB corresponding to each transport layer. If the PRB does not satisfy at least one of the SRS time domain condition or the SRS frequency domain condition, the amplitude coefficient of the PRB corresponding to each transport layer is determined as the amplitude coefficient of the PRB corresponding to each transport layer.

Specifically, the SRS time domain condition is that the time interval from the previous SRS measurement is less than the time length threshold. For each PRB, the PRB satisfies the SRS time domain condition when the interval between the current time and the time of the previous SRS measurement in that PRB is less than the time length threshold.

The time length threshold may be determined based on the specific requirements of the practical application scenario and the actual layout, and is not limited to this.

Specifically, the SRS frequency domain condition is that the distance between the PRB with the closest SRS measurement is less than the bandwidth threshold. For each PRB, the PRB satisfies the SRS frequency domain condition when the distance between the PRB and the PRB with the SRS measurement closest thereto is less than the bandwidth threshold.

The bandwidth threshold may be specifically determined based on the requirements of the practical application scenario or the actual deployment, but is not limited to this.

As an example, for each PRB, if the interval between the current time and the time of the previous SRS measurement of the PRB is less than the time length threshold, and the distance between the PRB and the PRB immediately adjacent to the PRB in which the SRS measurement exists is less than the bandwidth threshold, the subband amplitude coefficient of the subband corresponding to the PRB corresponding to each transport layer is determined as the amplitude coefficient corresponding to each transport layer of the PRB.

If the subband corresponding to the PRB is the α-th subband, the amplitude coefficient F _i of the PRB corresponding to each transport layer is the subband amplitude coefficient F i of the subband corresponding to each transport layer.
That is,
It is.

As an example, for each PRB, if the interval between the current time and the time of the previous SRS measurement of the PRB is equal to or greater than a time length threshold, and/or the distance between the PRB and the PRB immediately adjacent to the PRB where the SRS measurement exists is equal to or greater than a bandwidth threshold, the subband amplitude coefficient of the subband corresponding to each transport layer is determined as the amplitude coefficient of the PRB corresponding to each transport layer. The amplitude coefficient F _i corresponding to each transport layer of this PRB is determined as the band amplitude coefficient of the band corresponding to each transport layer.
So, that is,
It is.

In step S15, downlink data is transmitted based on the amplitude coefficient corresponding to each PRB.

In some possible implementations, since data corresponding to each transport layer is ultimately mapped to different REs corresponding to each antenna port, when determining to transmit downlink data based on the amplitude coefficient corresponding to each PRB, the amplitude coefficient corresponding to each RE in each PRB can further be determined.

Specifically, for each RE in each PRB, it is determined that the RE corresponds to a target transport layer corresponding to the downlink data, and the amplitude coefficient of the PRB corresponding to the target transport layer can be determined as the amplitude coefficient corresponding to the RE.

In other words, for each PRB, the amplitude coefficient of the PRB corresponding to each transport layer can be determined based on the amplitude coefficient of the PRB corresponding to each transport layer.

As an example, if the amplitude coefficient of a PRB corresponding to each transport layer is F _i , the amplitude coefficient of the PRB corresponding to an RE corresponding to transport layer 1 is F ₁ , and the amplitude coefficient of the PRB corresponding to an RE corresponding to transport layer 2 is F ₂ .

As an example, the amplitude coefficient of a PRB corresponding to each transport layer may be expressed as the subband amplitude coefficient of the α-th subband in which it is located,
Then, the amplitude coefficient corresponding to one RE of the PRB is
It becomes.

Furthermore, after determining the amplitude coefficient corresponding to each RE in each PRB, the downlink data corresponding to each RE is multiplied by the amplitude coefficient corresponding to that RE to obtain the downlink data to be finally transmitted, and the final downlink data can be transmitted to the terminal device.

Next, a data transmission method according to an embodiment of the present disclosure will be described with reference to FIG. 2. FIG. 2 is a diagram showing the flow of data transmission when the transport layer according to an embodiment of the present disclosure is 4.

If the number of SRS-compatible ports is four, a four-port frequency-domain channel estimation matrix for each RE of the SRS can be determined, and a four-port correlation matrix corresponding to each subband in the band can be determined. Furthermore, the four-port correlation matrix corresponding to each subband is subjected to SVD decomposition to obtain a four-port feature value matrix corresponding to each subband, and the diagonal elements of the four-port feature value matrix corresponding to each subband are taken to obtain four-stream feature values corresponding to each subband. However, if one transport layer corresponds to each stream and the number of transport layers is four, the four-stream feature values are feature values corresponding to the four transport layers.

Furthermore, a root number calculation is performed on the four-stream feature values corresponding to each subband to obtain the corresponding four-stream power coefficients, and an inverse calculation and normalization process are performed on the four-stream power coefficients to obtain the four-stream amplitude coefficients corresponding to each subband.

On the other hand, based on the per-stream feature values corresponding to each subband, per-stream feature values corresponding to the band are determined, and four-stream feature values corresponding to the band are obtained. A root number calculation is performed on the four-stream feature values corresponding to the band to obtain the corresponding four-stream power coefficients, and an inverse calculation and normalization process are performed on the four-stream power coefficients to obtain the four-stream amplitude coefficients corresponding to the band.

Finally, the amplitude coefficients to be finally used for each PRB are determined based on the four-stream amplitude coefficients corresponding to each subband and the four-stream amplitude coefficients corresponding to the band, and the downlink data is transmitted with the corresponding amplitude coefficients.

In an embodiment of the present disclosure, the port correlation matrix corresponding to each subband is subjected to singular value decomposition, and based on the singular value decomposition result, the band power coefficient of the band corresponding to each transport layer and the subband power coefficient of each subband corresponding to each transport layer are determined. Since the subband characteristic value of each subband corresponding to each transport layer is inversely proportional to the subband power coefficient corresponding to the subband, the band characteristic value of the band corresponding to each transport layer is inversely proportional to the power coefficient of the band corresponding to the band. For this reason, the amplitude coefficient corresponding to the transport layer with good channel conditions is low, and the amplitude coefficient corresponding to the transport layer with poor channel conditions is high. This makes the reception performance of the codeword between the transport layers with different channel conditions relatively close to each other, improving the reception accuracy of the codeword by the transport layer. On the other hand, according to the data transmission method according to the embodiment of the present disclosure, the network device can adaptively adjust the corresponding power distribution between each transport layer to reduce the block error rate. Furthermore, by determining the amplitude coefficient corresponding to each PRB based on the power distribution ratio in the subband or band corresponding to each transport layer, unnecessary amplitude coefficients can be applied to each PRB in different vacant environments, improving the data transmission message and cell downlink spectrum efficiency, and high applicability.

3, which is a diagram showing a configuration of a data transmission device according to an embodiment of the present disclosure. The data transmission device 1 according to the embodiment of the present disclosure includes:
a first determination unit 11 for determining a frequency domain channel estimation matrix of a resource unit RE of a sounding reference signal SRS;
the second specifying unit 12 determining a port correlation matrix corresponding to each subband in a band based on each of the frequency domain channel estimation matrices, and performing singular value decomposition on the port correlation matrix corresponding to each subband to obtain a port feature value matrix corresponding to the subband;
a third determination unit that determines a subband power coefficient of each subband corresponding to each transport layer and a band power coefficient of the band corresponding to each transport layer based on a port feature value matrix corresponding to each subband;
a fourth determination unit 14 that determines an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each subband and a band power coefficient corresponding to the band;
and a data transmitting unit configured to transmit downlink data based on the PRB corresponding amplitude coefficients.

In some possible implementations, the first identification unit 11 is
The number of transmitting antennas and the number of ports corresponding to the SRS are determined,
The frequency domain channel estimation matrix for each RE of the SRS is determined based on the number of antennas and the number of ports.

In some possible implementations, the second identification unit 12 is
For each RE, determine a port correlation matrix corresponding to the RE based on a frequency-domain channel estimation matrix corresponding to the RE;
For each subband, a port correlation matrix corresponding to the subband is determined based on the PRB corresponding to the subband, the RE corresponding to the subband, and the port correlation matrix to which each of the REs corresponding to the subband corresponds.

In some possible implementations, each of the port correlation matrices to which the above-mentioned REs correspond is defined by the following equation:

where k is the index of the RE, H _k is the frequency-domain channel estimation matrix corresponding to the RE with index k, and
is the transpose of H _k and R _k is the corresponding port correlation matrix of the RE with index k.

In some possible implementations, the port correlation matrix corresponding to the subbands is defined as:

where NB indicates a subband, α is the subband index,
denotes the port correlation matrix of the subband with index α,
is the number of PRBs included in the subband, M is the number of REs included in the PRB,
is the index of the start RE corresponding to the subband of index α.

In some possible implementations, the third identification unit 13 is

determining, for each of the subbands, a subband feature value for each of the subbands corresponding to each of the transport layers based on a port feature value matrix corresponding to the subband;
determining a band feature value of the band corresponding to each of the transport layers based on a subband feature value corresponding to each of the subbands; and determining a band power coefficient of the band corresponding to each of the transport layers based on each of the band feature values;
The decoder is arranged to determine, for each said subband, a subband power coefficient for that subband corresponding to the transport layer based on a subband feature value corresponding to that subband.

In some possible implementations, the third identification unit 13 is
The apparatus is arranged to determine, for each said transport layer, band feature values for the band corresponding to that transport layer based on subband feature values of the subbands corresponding to that transport layer.

In some possible implementations, the band power coefficient of the band corresponding to the transport layer is defined as:

where i is the transport layer index, WB indicates the band,
is a band characteristic value for the band with index α corresponding to the transport layer,
is the band power coefficient in the band of index α corresponding to the transport layer of index i.

In some possible implementations, for each subband, the subband power coefficient corresponding to the transport layer is determined by the following formula:

where i is the transport layer index, NB indicates a subband, α is the subband index,
denote the subband feature value of the subband with index α corresponding to the transport layer i,
Let α denote the subband power coefficient of the subband with index α corresponding to the transport layer i.

In some possible implementations, the fourth identification unit 14 is
determining, for each of the subbands, a subband amplitude coefficient for the subband corresponding to each of the transport layers based on a subband power coefficient for the subband corresponding to each of the transport layers;
determining a band amplitude coefficient for the band corresponding to each of the transport layers based on a band power coefficient for the band corresponding to each of the transport layers;
The amplitude coefficients corresponding to each PRB are determined based on the subband amplitude coefficients corresponding to each subband and the band amplitude coefficients corresponding to the band.

In some possible implementations, the band coefficient of the band corresponding to the transport layer is defined by the following formula:

where i is the transport layer index, WB is the band,
is the band amplitude coefficient of the band corresponding to the transport layer with index i,
is the band power coefficient of the band corresponding to the transport layer with index i.

In some possible implementations, the subband amplitude coefficient for each subband corresponding to the transport layer is defined by the following equation:

where i is the transport layer index, N is the subband, and α is the subband index.
is the subband amplitude coefficient of the subband corresponding to the transport layer with index i,
is the subband power coefficient of index α corresponding to the transport layer of index i.

In some possible implementations, the fourth identification unit 14 is
For each PRB, if the PRB satisfies an SRS time domain condition and an SRS frequency domain condition, a subband amplitude coefficient of a corresponding subband corresponding to each transport layer is determined as the amplitude coefficient of the PRB corresponding to each transport layer, and if the PRB does not satisfy at least one of the SRS time domain condition or the SRS frequency domain condition, a band amplitude coefficient of the band corresponding to each transport layer is determined as the amplitude coefficient of the PRB corresponding to each transport layer.

Here, the SRS time domain condition is that the interval from the time of the previous SRS measurement is less than a time length threshold, and the SRS frequency domain condition is that the distance between the PRB in which the most recent SRS measurement occurs is less than a bandwidth threshold.

In some possible implementations, the data transmission unit 15 is
For each of the REs in each of the PRBs, a target transport layer corresponding to the downlink data corresponding to the RE is determined, and an amplitude coefficient of the target transport layer corresponding to the PRB is determined as an amplitude coefficient corresponding to the RE;
The downlink data is arranged to be transmitted based on the amplitude coefficient corresponding to each of the REs in each of the PRBs.

In some possible implementations, the third identification unit 13 further includes:
After determining a subband power coefficient of each subband corresponding to each transport layer and a band power coefficient of a band corresponding to each transport layer according to a port feature value matrix corresponding to each subband,
A normalization process is performed on the subband power coefficients of each of the subbands corresponding to each transport layer, and a normalization process is performed on the band power coefficients of the bands corresponding to each transport layer. The fourth determination unit 14 specifically determines amplitude coefficients corresponding to each physical resource block PRB using the subband power coefficients corresponding to each of the subbands after the normalization process and the band power coefficients corresponding to the bands.

The data processing device 1 according to the embodiment of the present disclosure can implement all of the steps of the method implemented by the network device of the embodiment of the method described above, and can achieve the same technical effects, and therefore the description will not be repeated for the same parts and effects as those of the embodiment of the method.

The division of cells in this disclosure is schematic and merely a type of logical functional division, and other division methods may be used when actually realizing the invention. Furthermore, each functional unit in each embodiment of this disclosure may be integrated into one processing unit, each unit may exist physically alone, or two or more units may be integrated into one unit. The integration means may be realized in hardware or as software functional means.

The integrated unit may be stored in a processor-readable storage medium when it is realized as a software functional unit and sold or used as an independent product. Based on this understanding, the technical solution of the present disclosure may be embodied as a software product, either in its essential form or in its contribution to the prior art, or in its entirety or in part. This computer software product has instructions stored in a storage medium that instruct a computer device (which may be a personal computer, a server, a network device, etc.) or a processor device to execute all or part of the steps of the above-mentioned method in each embodiment of the present disclosure. The aforementioned storage medium includes those capable of storing various program codes, such as U disks, mobile hard disks, ROMs (Read-Only Memory), RAMs (Random Access Memory), magnetic disks, or optical disks.

Referring to FIG. 4, FIG. 4 is a diagram showing the configuration of an electronic device according to an embodiment of the present disclosure, and the electronic device according to an embodiment of the present disclosure can be configured as a network device in a communication system including a memory 1220, a transceiver 1200, and a processor 1210.

The transceiver 1200 transmits and receives data under the control of the processor 1210, and by being equipped with a memory 1220 that stores computer programs and a processor 1210 that reads the computer programs in the memory 1220, it achieves the following:

In some possible implementations, the processor 1210 described above may:
determining a frequency domain channel estimation matrix for each resource unit RE of a sounding reference signal SRS;
determining a port correlation matrix corresponding to each subband in a band based on each of the frequency domain channel estimation matrices; performing singular value decomposition on the port correlation matrix corresponding to each of the subbands to obtain a port feature value matrix corresponding to the subband;
determining a subband power coefficient for each of the subbands corresponding to each transport layer and a band power coefficient for the band corresponding to each transport layer based on a port feature value matrix corresponding to each of the subbands;
determining an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each of the subbands and a band power coefficient corresponding to the band;
Downlink data is arranged to be transmitted based on the amplitude coefficient corresponding to each PRB.

In some possible implementations, the processor 1210 may:
Determine the number of transmitting antennas and the number of ports corresponding to the SRS;
The SRS is configured to determine a frequency-domain channel estimation matrix for each RE of the SRS based on the number of antennas and the number of ports.

In some possible implementations, the processor 1210 may:
For each RE, determine a port correlation matrix corresponding to the RE based on a frequency-domain channel estimation matrix corresponding to the RE;
The modulator is arranged to determine, for each subband, a port correlation matrix corresponding to the subband based on a PRB corresponding to the subband, an RE corresponding to the subband, and a port correlation matrix corresponding to each of the REs corresponding to the subband.

In some possible implementations, each of the port correlation matrices corresponding to the above-mentioned REs is defined by the following equation:

where k is the index of the RE, H _k is the frequency-domain channel estimation matrix corresponding to the RE with index k, and
is the transpose of H _k and R _k is the port correlation matrix corresponding to the RE with index k.

In some possible implementations, the port correlation matrix corresponding to the subbands is defined as:

where NB indicates a subband, α is the subband index,
denotes the port correlation matrix of the subband with index α,
is the number of PRBs included in the subband, M is the number of REs included in the PRB,
is the index of the start RE corresponding to the subband of index α.

In some possible implementations, the processor 1210 may:
For each of the subbands, determining a subband feature value for each subband corresponding to each transport layer based on a port feature value matrix corresponding to the subband;
determining a band feature value of the band corresponding to each of the transport layers based on a subband feature value corresponding to each of the subbands; and determining a band power coefficient of the band corresponding to each of the transport layers based on each of the band feature values;
The decoder is arranged to determine, for each said subband, a subband power coefficient for that subband corresponding to the transport layer based on a subband feature value corresponding to that subband.

In some possible implementations, the processor 1210 may:
The apparatus is arranged to determine, for each said transport layer, band feature values for the band corresponding to that transport layer based on subband feature values of the subbands corresponding to that transport layer.

In some possible implementations, the band power coefficient of the band corresponding to the transport layer is defined by the following formula:

where i is the transport layer index and B indicates the band,
is the band feature value of the band corresponding to the transport layer with index i,
is the band power coefficient of the band corresponding to the transport layer with index i.

In some possible implementations, for each subband, the subband power coefficient for the subband corresponding to each transport layer is determined by the following formula:

where i is the transport layer index, NB is the subband,
is the subband feature value of the subband with index α corresponding to the transport layer i,
is the subband power coefficient of index α corresponding to the transport layer of index i.

In some possible implementations, the processor 1210 described above may:
determining, for each of the subbands, a subband amplitude coefficient for the subband corresponding to each of the transport layers based on a subband power coefficient for the subband corresponding to each of the transport layers;
determining a band amplitude coefficient corresponding to each of the transport layers of the band based on a band power coefficient of the band corresponding to each of the transport layers;
The adaptive filter is arranged to determine an amplitude coefficient corresponding to each PRB based on a subband amplitude coefficient corresponding to each of said subbands and a band amplitude coefficient corresponding to said band.

In some possible implementations, the band coefficient of the band corresponding to the transport layer is defined by the following formula:

where i is the transport layer index, WB is the band,
is the band amplitude coefficient of the band corresponding to the transport layer with index i,
is the band power coefficient of the band that corresponds to the transport layer with index i.

In some possible implementations, for each subband, a subband amplitude coefficient for the subband corresponding to each transport layer is defined by the following equation:

where i is the transport layer index, NB indicates a subband, α is the subband index,
is the subband amplitude coefficient of the subband with index α corresponding to the transport layer with index i,
is the subband power coefficient of the subband with index α corresponding to the transport layer with index i.

In some possible implementations, the processor 1210 described above may:
For each PRB, if the PRB satisfies an SRS time domain condition and an SRS frequency domain condition, a subband amplitude coefficient of a corresponding subband corresponding to each transport layer is determined as the amplitude coefficient of the PRB corresponding to the respective transport layer. If the PRB does not satisfy at least one of the SRS time domain condition or the SRS frequency domain condition, a band amplitude coefficient of the band corresponding to the respective transport layer is determined as the amplitude coefficient of the PRB corresponding to the respective transport layer.

Here, the SRS time domain condition is that the interval from the time of the previous SRS measurement is less than a time length threshold, and the SRS frequency domain condition is that the distance between the PRB in which the most recent SRS measurement occurs is less than a bandwidth threshold.

In some possible implementations, the processor 1210 may:
For each of the REs in each of the PRBs, a target transport layer is determined to which downlink data corresponding to the RE corresponds, and an amplitude coefficient of the PRB corresponding to the target transport layer is determined as an amplitude coefficient corresponding to the RE;
The REs are arranged to transmit downlink data based on the amplitude coefficients corresponding to the REs in the PRBs.

In some possible implementations, the processor 1210 may further include:
After determining a subband power coefficient of each subband corresponding to each transport layer and a band power coefficient of a band corresponding to each transport layer according to a port feature value matrix corresponding to each subband,
Normalizing a subband power coefficient of each of the subbands corresponding to each transport layer, and normalizing a band power coefficient of the band corresponding to each of the transport layers;
When determining an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each subband and a band power coefficient corresponding to the band, specifically, an amplitude coefficient corresponding to each physical resource block PRB is determined by the subband power coefficient corresponding to each subband after normalization processing and the band power coefficient corresponding to the band.

Note that in FIG. 4, the bus architecture may be any number of buses and bridges interconnected, in particular connecting various circuits of one or more processors, such as processor 1210, and memory, such as memory 1220. It is known in the art that the bus architecture may also connect various other circuits, such as peripherals, regulators, power management circuits, etc., and therefore will not be described further. The bus interface provides an interface.

The transceiver 1200 is a multi-component device including a transmitter and a receiver, and provides a means for communicating with various other devices over a transmission medium including a wireless channel, a wired channel, an optical cable, etc. The user interface 1230 may be an interface that allows a device to be circumscribed or inscribed with respect to different network devices, and the devices to be connected include, but are not limited to, a numeric keypad, a display, a speaker, a microphone, a joystick, etc.

The processor 1210 is responsible for managing the bus architecture and normal processing, and the memory 1220 may store data used by the processor 1210 when it operates.

Optionally, the processor 1210 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array) or a CPLD (Complex Programmable Logic Device), and the processor may employ a multi-core architecture.

The processor is configured to execute a communication method for a network device applied to a first communication system according to an embodiment of the present disclosure in response to the obtained executable instructions by calling a computer program stored in the memory. The processor and the memory may be located physically separate.

The electronic device provided in the embodiment of the present disclosure can realize all of the methods and steps realized by the network device in the embodiment of the present disclosure and can achieve similar technical effects, so the same parts and effects as those of the method embodiment in this embodiment will not be described again.

The processor-readable recording medium according to the embodiment of the present disclosure is capable of executing all the steps of the method realized by the network device according to the embodiment of the present disclosure through each functional module, and specifically, reference is made to the implementation form of each of the steps described above, so a description thereof will be omitted.

In some possible implementations, the processor-readable storage medium may be any available medium or data storage device accessible to the processor. For example, it may be the data transmission device or the internal storage means of the electronic device, including but not limited to magnetic memory (e.g., flexible disk, hard disk, magnetic tape, magneto-optical disk (MO)), optical memory (e.g., CD, DVD, BD, HVD, etc.), semiconductor memory (e.g., ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid state drive (SSD)), etc. The processor-readable storage medium may be an external storage device of the electronic device, such as a plug-in hard disk provided in the electronic device, a smart media card (SMC), a secure digital (SD) card, a flash memory card (flash card), etc. The processor-readable storage medium may further include a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM). Furthermore, the processor-readable recording medium may include both an internal storage unit and an external storage unit of an electronic device. This processor-readable storage medium is for storing the computer program and other programs and data required by the electronic device. This processor-readable storage medium may be used to temporarily store data that has already been output or is to be output.

The terms "first", "second", etc. in the claims, specification and drawings of this disclosure are not intended to describe a particular order, but to distinguish different objects. In addition, the terms "include" and "have" and their inclusive and non-exclusive overlays are intended to include any variations, for example, a process, method, system, product, or electronic device including a series of steps or elements is not limited to the listed steps or elements. It may include steps or elements that are not listed, or may include other steps or elements that are unique to these steps, methods, products, or electronic devices. Here, "embodiment" means that a particular feature, structure, or characteristic described as an embodiment is included in at least one embodiment of the present disclosure. In each location in the specification, the phrase does not necessarily refer to all the same embodiment, nor is it an independent or optional embodiment that is exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments. The term "and/or" as used in the specification and claims of this disclosure means and includes any and all possible combinations of one or more of the associated items.

It will be apparent to those skilled in the art that the embodiments of the present disclosure may be provided as a method, a system, or a computer program product. Thus, the present disclosure may take the form of a completely hardware form, a completely software form, or a form that combines software and hardware forms. The present disclosure may also take the form of a computer program product embodied in a computer-readable recording medium (including but not limited to a disk memory, optical memory, etc.) having computer-readable program code.

The present disclosure will be described with reference to flowcharts and/or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present disclosure. It should be understood that each flow and/or block of the flowcharts and/or block diagrams and combinations of flows and/or blocks of the flowcharts and/or block diagrams are realized by computer-executable instructions. These computers can execute instructions to a processor of a general-purpose computer, a special-purpose computer, an embedded handler, or other programmable data processing device to generate the device. In response to instructions executed by a processor of a computer or other programmable data processing device, the flowchart generates means for implementing the functions identified in one or more flowcharts and/or one or more blocks of the block diagram.

These processor-executable instructions may be stored in a processor-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner. The instructions stored in the processor-readable memory produce an article of manufacture that includes an instruction apparatus that implements the functionality specified in one or more of the flowcharts and/or one or more blocks of the block diagram.

These processors may execute instructions or may reside in a computer or other programmable data processing device. Computer-implemented processes are generated by causing the computer or other programmable device to perform a sequence of processing steps. The instructions executed on the computer or other programmable device provide a procedure that implements the functionality specified in one or more of the flowcharts and/or one or more of the block diagrams.

Those skilled in the art will understand that the units and algorithm steps of each example described in the disclosed embodiment can be realized by electronic hardware, computer software, or a combination of these, and in the above description, the configuration and steps of each example are generally described for each function in order to clearly explain the compatibility of the hardware and software. Those skilled in the art will be able to realize the described functions in different ways for each specific application, but such realization does not depart from the scope of this disclosure.

The above is merely one preferred embodiment of the present disclosure and does not limit the scope of the rights of the present disclosure. Therefore, any equivalent modification of the claims of the present disclosure does not limit the scope of the present disclosure.

Reference Signs List 1 Data transmission device 11 First identification unit 12 Second identification unit 13 Third identification unit 14 Fourth identification unit 15 Data transmission unit 1200 Transceiver 1210 Processor 1220 Memory 1230 User interface

Claims (18)

determining a frequency domain channel estimation matrix for each resource unit (RE) of a sounding reference signal (SRS);
determining a port correlation matrix corresponding to each subband in a band based on each of the frequency domain channel estimation matrices, and performing singular value decomposition on the port correlation matrix corresponding to each of the subbands to obtain a port feature value matrix corresponding to the subband;
determining a subband power coefficient for each subband corresponding to each transport layer and a band power coefficient for the band corresponding to each transport layer based on a port feature value matrix corresponding to each subband;
determining an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each of the subbands and a band power coefficient corresponding to the band;
and transmitting downstream data based on an amplitude coefficient corresponding to each PRB. Determining a frequency domain channel estimation matrix for each RE of the SRS comprises:
Determining the number of transmitting antennas and the number of ports corresponding to the SRS;
The method of claim 1 , further comprising determining a frequency-domain channel estimation matrix for each RE of the SRS based on the number of antennas and the number of ports. determining a port correlation matrix corresponding to each subband based on each frequency-domain channel estimation matrix,
For each RE, determining a port correlation matrix corresponding to the RE based on a frequency-domain channel estimation matrix corresponding to the RE;
2. The method of claim 1, comprising: for each subband, determining a port correlation matrix corresponding to the subband based on a PRB corresponding to the subband, an RE corresponding to the subband, and a port correlation matrix corresponding to each of the REs corresponding to the subband. Each of the port correlation matrices corresponding to the RE is
where k is the index of the RE, H _k is the frequency-domain channel estimation matrix corresponding to the RE with index k,
is the transpose of H _k and R _k is the port correlation matrix corresponding to the RE with index k).
The method of claim 3 , wherein the parameter is defined by: Each of the port correlation matrices corresponding to the subbands is
(where NB denotes a subband, α is the subband index,
denotes the port correlation matrix of the subband with index α,
is the number of PRBs included in the subband, M is the number of REs included in each PRB,
is the index of the start RE corresponding to the subband of index α)
The method of claim 4 , wherein the distance is defined by: determining a subband power coefficient for each subband corresponding to each transport layer and a band power coefficient for the band corresponding to each transport layer based on a port feature value matrix corresponding to each subband,
for each of the subbands, determining a subband feature value for each of the subbands corresponding to a respective transport layer based on a port feature value matrix corresponding to the subband;
determining a band feature value of the band corresponding to each of the transport layers based on a subband feature value corresponding to each of the subbands, and determining a band power coefficient of the band corresponding to each of the transport layers based on the band feature value;
2. The method of claim 1, comprising: for each subband, determining a subband power coefficient for the subband corresponding to each of the transport layers based on a subband feature value corresponding to the subband. determining subband power coefficients for the subbands corresponding to each of the transport layers based on subband feature values corresponding to each of the subbands,
7. The method of claim 6, comprising, for each transport layer, determining a band feature value for the band corresponding to the transport layer based on a subband feature value for the subband corresponding to the transport layer. The band power coefficient of the band corresponding to each of the transport layers is
(where i is the transport layer index, WB indicates the band,
is the band feature value for the band corresponding to the transport layer with index i,
is the band power coefficient of the band corresponding to the transport layer with index i)
The method of claim 6 , wherein the parameter is defined by: Each of the subband power coefficients for the subbands corresponding to each of the transport layers is
(where i is the transport layer index, NB indicates a subband, α is the subband index,
is the subband feature value of the subband with index α corresponding to the transport layer i,
is the subband power coefficient of the subband with index α corresponding to the transport layer i)
The method of claim 6 , wherein the parameter is defined by: Determining an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each subband and a band power coefficient corresponding to the band,
determining, for each of the subbands, a subband amplitude coefficient for the subband corresponding to each of the transport layers based on a subband power coefficient for the subband corresponding to each of the transport layers;
determining a band amplitude coefficient for the band corresponding to each of the transport layers based on a band power coefficient for the band corresponding to each of the transport layers;
and determining an amplitude coefficient corresponding to each PRB based on a subband amplitude coefficient corresponding to each of the subbands and a band amplitude coefficient corresponding to the band. The band amplitude coefficient of the band corresponding to each of the transport layers is
(where i is the transport layer index, WB indicates the band,
denotes the band amplitude coefficient of the band corresponding to the transport layer with index i,
is the band power coefficient of the band corresponding to the transport layer with index i)
The method of claim 10, wherein the parameter is defined by: Each of the subband amplitude coefficients for the subbands corresponding to each of the transport layers is
(where i is the transport layer index, NB indicates a subband, α is the subband index,
denote the subband amplitude coefficient of the subband with index α corresponding to the transport layer with index i,
is the subband power coefficient of the subband with index α corresponding to the transport layer with index i).
The method of claim 10, wherein the parameter is defined by: Determining an amplitude coefficient corresponding to each PRB based on a subband amplitude coefficient corresponding to each subband and a band amplitude coefficient corresponding to the band,
For each PRB, if the PRB satisfies an SRS time domain condition and an SRS frequency domain condition, a subband amplitude coefficient of a corresponding subband corresponding to each transport layer is determined as an amplitude coefficient of the PRB corresponding to the respective transport layer, and if the PRB does not satisfy at least one of the SRS time domain condition or the SRS frequency domain condition, a band amplitude coefficient of the band corresponding to the respective transport layer is determined as an amplitude coefficient of the PRB corresponding to the respective transport layer;
11. The method of claim 10, wherein the SRS time domain condition is that the interval from the time of the previous SRS measurement is less than a time length threshold, and the SRS frequency domain condition is that the distance between the PRB in which the most recent SRS measurement occurs is less than a bandwidth threshold. Transmitting downlink data based on an amplitude coefficient of each PRB corresponding to each transport layer,
For each of the REs in each of the PRBs, determining a target transport layer to which downlink data corresponding to the RE corresponds, and determining an amplitude coefficient of the PRB corresponding to the target transport layer as an amplitude coefficient corresponding to the RE;
and transmitting downlink data based on an amplitude coefficient corresponding to each of the REs in each of the PRBs. determining a subband power coefficient of each of the subbands corresponding to each of the transport layers and a band power coefficient of the band corresponding to each of the transport layers based on a port feature value matrix corresponding to each of the subbands, and then further
normalizing a subband power coefficient of each of the subbands corresponding to each transport layer, and normalizing a band power coefficient of the band corresponding to each of the transport layers;
The method according to claim 1, further comprising: when determining an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each subband and a band power coefficient corresponding to the band, determining an amplitude coefficient corresponding to each physical resource block PRB using a subband power coefficient corresponding to each subband after normalization and a band power coefficient corresponding to the band. a first determination unit for determining a frequency domain channel estimation matrix for each resource unit (RE) of a sounding reference signal (SRS);
a second determination unit that determines a port correlation matrix corresponding to each subband in a band based on each of the frequency domain channel estimation matrices, and performs singular value decomposition on the port correlation matrix corresponding to each of the subbands to obtain a port feature value matrix corresponding to the subband;
a third determination unit that determines a subband power coefficient of each of the subbands corresponding to each transport layer and a band power coefficient of the band corresponding to each of the transport layers based on a port feature value matrix corresponding to each of the subbands;
a fourth determination unit that determines an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each of the subbands and a band power coefficient corresponding to the band;
A data transmission device for network equipment , comprising: a data transmission unit that transmits downstream data based on an amplitude coefficient corresponding to each of the PRBs. a memory for storing a computer program;
a transmitting/receiving unit for transmitting and receiving data under the control of a processor;
16. An electronic device comprising: the processor for reading a computer program in the memory and for executing a method according to any one of claims 1 to 15. A processor-readable storage medium storing a computer program for causing a processor to execute a method according to any one of claims 1 to 15.