CN115150228B

CN115150228B - Data transmission method, device, equipment and storage medium

Info

Publication number: CN115150228B
Application number: CN202110350530.9A
Authority: CN
Inventors: 王希; 张晓娟
Original assignee: Datang Mobile Communications Equipment Co Ltd
Current assignee: Datang Mobile Communications Equipment Co Ltd
Priority date: 2021-03-31
Filing date: 2021-03-31
Publication date: 2023-05-26
Anticipated expiration: 2041-03-31
Also published as: WO2022206374A1; CN115150228A; JP2024513020A

Abstract

The embodiment of the application discloses a data transmission method, a device, equipment and a storage medium, wherein the method comprises the following steps: determining a frequency domain channel estimation matrix of each resource element RE of a sounding reference signal SRS; determining a port correlation matrix corresponding to each sub-band in the broadband based on each frequency domain channel estimation matrix, and carrying out singular value decomposition on the port correlation matrix corresponding to each sub-band to obtain a port eigenvalue matrix corresponding to the sub-band; determining a sub-band power coefficient of each sub-band corresponding to each transmission layer and a broadband power coefficient of each broadband corresponding to each transmission layer based on the port characteristic value matrix corresponding to each sub-band; determining an amplitude coefficient corresponding to each PRB based on the sub-band power coefficient corresponding to each sub-band and the broadband power coefficient corresponding to the broadband; and transmitting downlink data based on the amplitude coefficient corresponding to each PRB. By adopting the embodiment of the application, the amplitude coefficient corresponding to each PRB can be determined based on the sub-band power coefficient and the broadband power coefficient, so that the data transmission efficiency is improved, and the applicability is high.

Description

Data transmission method, device, equipment and storage medium

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a data transmission method, apparatus, device, and storage medium.

Background

In a communication system, when a network device performs data transmission, downlink data needs to be mapped to corresponding time-frequency resources and antenna ports for transmission. When transmitting downlink data, common waveform modes include codebook transmission and non-codebook transmission.

When layer mapping is performed, the maximum downlink transmitting power of the network device is fixed, and the total power needs to be distributed to a plurality of transmission layers, and common distribution modes are average distribution and distribution according to fixed proportion. The average allocation mode does not consider the performance difference of each transmission layer in the space transmission process, so that the performance of the transmission layer with smaller space characteristic value is limited, the bit error rate is obviously higher than that of the transmission layer with larger space characteristic value, and finally, the whole code word is received in error. The fixed proportion distribution mode cannot adapt to the change of the air interface channel, namely cannot adapt to different proportions required by different channels, and has poor adaptability.

Based on the above mode, the bit error rate of the transmission layer with weaker energy can be obviously larger than that of the transmission layer with stronger energy, so that the final block error rate is increased, and the data transmission efficiency is lower.

Disclosure of Invention

The embodiment of the application provides a data transmission method, a device, equipment and a storage medium, which can improve data transmission efficiency and have high applicability.

In a first aspect, an embodiment of the present application provides a data transmission method, including:

determining a frequency domain channel estimation matrix of each resource element RE of a sounding reference signal SRS;

determining a port correlation matrix corresponding to each sub-band in the broadband based on each frequency domain channel estimation matrix, and carrying out singular value decomposition on the port correlation matrix corresponding to each sub-band to obtain a port eigenvalue matrix corresponding to the sub-band;

determining a sub-band power coefficient of each sub-band corresponding to each transmission layer and a wideband power coefficient of each wideband corresponding to each transmission layer based on a port eigenvalue matrix corresponding to each sub-band;

determining an amplitude coefficient corresponding to each Physical Resource Block (PRB) based on the sub-band power coefficient corresponding to each sub-band and the broadband power coefficient corresponding to the broadband;

and transmitting downlink data based on the amplitude coefficient corresponding to each PRB.

In a second aspect, an embodiment of the present application provides a data transmission apparatus, including:

a first determining unit, configured to determine a frequency domain channel estimation matrix of each resource element RE of the sounding reference signal SRS;

A second determining unit, configured to determine a port correlation matrix corresponding to each subband in the wideband based on each frequency domain channel estimation matrix, and for each subband, perform singular value decomposition on the port correlation matrix corresponding to the subband to obtain a port eigenvalue matrix corresponding to the subband;

a third determining unit, configured to determine, based on a port eigenvalue matrix corresponding to each of the subbands, a subband power coefficient corresponding to each of the transmission layers for each of the subbands and a wideband power coefficient corresponding to each of the transmission layers for each of the wideband;

a fourth determining unit, configured to determine an amplitude coefficient corresponding to each physical resource block PRB based on a subband power coefficient corresponding to each subband and a wideband power coefficient corresponding to the wideband;

and a data transmitting unit, configured to transmit downlink data based on the amplitude coefficient corresponding to each PRB.

In a third aspect, embodiments of the present application provide an electronic device, including a memory, a transceiver, and a processor:

a memory for storing a computer program; a transceiver for receiving and transmitting data under the control of the processor; and a processor for reading the computer program in the memory and executing the data transmission method provided in the first aspect.

In a fourth aspect, embodiments of the present application provide a processor-readable storage medium storing a computer program for causing the processor to execute the data transmission method provided in the first aspect.

In the embodiment of the application, the singular value decomposition is performed on the port correlation matrix corresponding to each sub-band, and then the amplitude coefficient corresponding to each PRB is determined based on the singular value decomposition result, so that the air interface environment can be self-adapted when downlink data is sent based on the amplitude coefficient corresponding to each PRB, the data sending efficiency is improved, and the applicability is high.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of a data transmission method according to an embodiment of the present application;

fig. 2 is a schematic flow chart of transmitting data when the transmission layer provided in the embodiment of the present application is 4;

Fig. 3 is a schematic structural diagram of a data transmission device according to an embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In the embodiment of the application, the term "and/or" describes the association relationship of the association objects, which means that three relationships may exist, for example, a and/or B may be represented: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.

The term "plurality" in the embodiments of the present application means two or more, and other adjectives are similar thereto.

The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.

The method and the device are based on the same application, and because the principles of solving the problems by the method and the device are similar, the implementation of the device and the method can be referred to each other, and the repetition is not repeated.

The data transmission method provided by the embodiment of the application can be suitable for various communication systems. The communication system to which the communication method provided in this embodiment of the present application is applicable may be a global system for mobile communications (global system of mobile communication, GSM) system, a code division multiple access (code division multiple access, CDMA) system, a wideband code division multiple access (Wideband Code Division Multiple Access, WCDMA) general packet radio service (general packet radio service, GPRS) system, an LTE frequency division duplex (frequency division duplex, FDD) system, an LTE time division duplex (time division duplex, TDD) system, an LTE-advanced long term evolution (long term evolution advanced, LTE-a) system, a universal mobile system (universal mobile telecommunication system, UMTS), a worldwide interoperability for microwave access (worldwide interoperability for microwave access, wiMAX) system, a 5G system, and the like. Core network parts such as evolved packet systems (Evolved Packet System, EPS) etc. may also be included in the system.

The data transmission method provided by the embodiment of the application can be applied to the network equipment in any communication system.

The network device to which the embodiments of the present application relate may be a base station, which may also be referred to as an access point, or may be a device in an access network that communicates with a wireless terminal device over an air interface through one or more sectors, or other names, depending on the particular application. The network device may be operable to exchange received air frames with internet protocol (Internet Protocol, IP) packets as a router between the wireless terminal device and the rest of the access network, which may include an Internet Protocol (IP) communication network. The network device may also coordinate attribute management for the air interface.

For example, the network device according to the embodiments of the present application may be a network device (Base Transceiver Station, BTS) in GSM or CDMA, a network device (NodeB) in WCDMA, an evolved network device (evolutional Node B, eNB or e-NodeB) in LTE system, a 5G base station (gNB) in a 5G network architecture (next generation system), a home evolved base station (Home evolved Node B, heNB), a relay node (relay node), a home base station (femto), a pico base station (pico), etc., and may be an operation maintenance (Operational Maintenance, OM) system in LTE system and NR system, which is not limited in the embodiments of the present application. In some network structures, the network devices may include Centralized Unit (CU) nodes and Distributed Unit (DU) nodes, which may also be geographically separated.

The network device may send downlink data to the terminal device in the communication system based on the data transmission method provided in the embodiment of the present application.

The terminal device according to the embodiments of the present application may be a device that provides voice and/or data connectivity to a user, a handheld device with a wireless connection function, or other processing device connected to a wireless modem, etc. The names of the terminal devices may also be different in different systems, for example in a 5G system, the terminal devices may be referred to as User Equipment (UE).

The wireless terminal device may communicate with one or more Core Networks (CNs) via a radio access Network (Radio Access Network, RAN), which may be mobile terminal devices such as mobile phones (or "cellular" phones) and computers with mobile terminal devices, e.g., portable, pocket, hand-held, computer-built-in or vehicle-mounted mobile devices that exchange voice and/or data with the radio access Network. Such as personal communication services (Personal Communication Service, PCS) phones, cordless phones, session initiation protocol (Session Initiated Protocol, SIP) phones, wireless local loop (Wireless Local Loop, WLL) stations, personal digital assistants (Personal Digital Assistant, PDAs), and the like. The wireless terminal device may also be referred to as a system, subscriber unit (subscriber unit), subscriber station (subscriber station), mobile station (mobile), remote station (remote station), access point (access point), remote terminal device (remote terminal), access terminal device (access terminal), user terminal device (user terminal), user agent (user agent), user equipment (user device), and the embodiments of the present application are not limited.

In the embodiment of the application, multiple input Multiple output (Multi Input Multi Output, MIMO) transmission can be performed between the network device and the terminal device by using one or more antennas, and the MIMO transmission can be Single User MIMO (SU-MIMO) or Multiple User MIMO (MU-MIMO). The MIMO transmission may be 2D-MIMO, 3D-MIMO, FD-MIMO, or massive-MIMO, or may be diversity transmission, precoding transmission, beamforming transmission, or the like, depending on the form and number of the root antenna combinations.

Referring to fig. 1, fig. 1 is a flow chart of a data transmission method according to an embodiment of the present application. As shown in fig. 1, the data transmission method provided in the embodiment of the present application may include the following steps:

step S11, determining a frequency domain channel estimation matrix of each Resource Element (RE) of the sounding reference signal (Sounding Reference Signal, SRS).

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

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

As an example, if the number of the transmitting antennas of the network device is k _a If the SRS is configured with n-port round transmission, the frequency domain channel estimation matrix H of the kth RE of the SRS can be determined _k Wherein the frequency domain channel estimation matrix H _k Is of dimension k _a *n。

As an example, if the terminal device is a 2T4R terminal, the SRS configures 4-port round robin, and the number of antennas of the transmitting antennas of the network device is k _a Then the frequency domain channel estimation matrix H of the kth RE of the SRS can be determined _k Wherein the frequency domain channel estimation matrix H _k Is of dimension k _a *4。

Step S12, determining a port correlation matrix corresponding to each sub-band in the broadband based on each frequency domain channel estimation matrix, and carrying out singular value decomposition on the port correlation matrix corresponding to each sub-band to obtain a port eigenvalue matrix corresponding to the sub-band.

In some possible embodiments, when determining 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 determined 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. For each RE, when determining the port correlation matrix corresponding to the RE, the transposed matrix of the frequency domain channel estimation matrix of the RE may be determined, and then the port correlation matrix corresponding to the RE may be determined according to the frequency domain channel estimation matrix of the RE and the corresponding transposed matrix. In other words, the port correlation matrix corresponding to each RE of the SRS may be determined based on the above manner.

As an example, if the frequency domain channel estimation matrix H of the kth RE of SRS _k The transpose matrix corresponding to the frequency domain channel estimation matrix of the RE is (H _k ) ^T Wherein, the port correlation matrix corresponding to the RE is (H) _k ) ^T H _k 。

Further, for each sub-band, determining a port correlation matrix corresponding to the sub-band according to the physical resource block (Physical Resource Block, PRB) corresponding to the sub-band, the RE corresponding to the sub-band and the port correlation matrix corresponding to each RE corresponding to the sub-band.

For each sub-band, the port correlation matrix corresponding to the sub-band may be specifically determined based on the number of PRBs included in the sub-band, the number of REs included in each PRB, and the port correlation matrix corresponding to each RE corresponding to the sub-band.

Wherein, the port matrix corresponding to each sub-band can be determined by the following expression:

where alpha is the subband index,

port correlation matrix representing the alpha th subband, N _prb For the subband size, i.e. the number of PRBs comprised by the subband, M is the number of REs comprised by each PRB, K _NBstart Is the index of the starting RE of the alpha sub-band. />

The number of PRBs included in each sub-band may be determined based on the actual configuration, or the number of REs included in each sub-band may be determined based on the actual configuration and/or protocol, which is not limited in the embodiments of the present application.

As an example, if the number of REs included in each PRB is 6, the port correlation matrix corresponding to the α -th subband may be determined by the following expression:

in some possible embodiments, after determining the port correlation matrix corresponding to each subband, singular value decomposition (Singular Value Decomposition, SVD) may be performed on the port correlation matrix corresponding to each subband to obtain the port eigenvalue matrix corresponding to each subband.

As an example of this, in one instance,

representing the port correlation matrix of the alpha th sub-band, the port eigenvalue matrix corresponding to the alpha th sub-band is +.>

Where SVD () represents a singular value decomposition operation.

And step S13, determining the sub-band power coefficient of each sub-band corresponding to each transmission layer and the broadband power coefficient of each broadband corresponding to each transmission layer based on the port eigenvalue matrix corresponding to each sub-band.

Specifically, for each sub-band, based on the port eigenvalue matrix corresponding to the sub-band, the sub-band eigenvalue corresponding to each transmission layer is determined.

In some possible embodiments, the transport layers are transport layers corresponding to layer mapping performed by the network device. The number of layers of the transmission layer is determined by the rank of the channel, and the rank of the channel represents the number of channels of the MIMO system independent of each other in a certain wireless environment. The number of layers of the transmission layer is less than or equal to the rank of the channel matrix and less than or equal to the number of antenna ports used for physical channel transmission.

In some possible embodiments, for each subband, a diagonal element of the port feature value matrix corresponding to the subband may be determined, and the subband feature value corresponding to each transmission layer may be determined from the diagonal element based on the number of transmission layers.

Specifically, for diagonal elements of the port eigenvalue matrix corresponding to the sub-band, determining each diagonal element as a sub-band eigenvalue corresponding to each transmission layer according to the arrangement sequence of each element in the diagonal elements. If a first one of the diagonal elements is determined to be the subband characteristic value of the subband corresponding to the first transport layer, a second one of the diagonal elements is determined to be the subband characteristic value of the subband corresponding to the second transport layer.

The arrangement sequence corresponding to the diagonal line elements is the sequence from the upper left corner to the lower left corner, and the number of the diagonal line elements is not less than the number of the transmission layers.

As an example, in the case where the number of transmission layers is 4, if the diagonal element of the port eigenvalue matrix corresponding to one subband is

The diagonal elements of the matrix are arranged in the order A ₁₁ ,A ₂₂ ,A ₃₃ ,A ₄₄ Further, it can be determined that the subband corresponds to the transmission layer beta ₁ The characteristic value of the sub-band is A ₁₁ Corresponding to the transmission layer beta ₂ The characteristic value of the sub-band is A ₂₂ Corresponding to the transmission layer beta ₃ The characteristic value of the sub-band is A ₃₃ Corresponding to the transmission layer beta ₄ The characteristic value of the sub-band is A ₄₄ . I.e. the subband corresponds to the subband eigenvalues of the respective transport layer +.>

As an example, in the case where the number of transmission layers is 2, if the diagonal element of the port eigenvalue matrix corresponding to one subband is

The diagonal elements of the matrix are arranged in the order A ₁₁ ,A ₂₂ ,A ₃₃ ,A ₄₄ Further, it can be determined that the subband corresponds to the transmission layer beta ₁ The characteristic value of the sub-band is A ₁₁ Corresponding to the transmission layer beta ₂ Is of sub-band specific of (2)The sign value is A ₂₂ . I.e. the subband corresponds to the subband eigenvalues of the respective transport layer +.>

As an example, the port eigenvalue matrix corresponding to the alpha th subband is

The subband characteristic value of the subband corresponding to each transport layer based on its diagonal element is +.>

Where i denotes the index of the transport layer, i=0, 1,2,3.

Further, in some possible embodiments, based on the subband eigenvalues corresponding to the subbands, wideband eigenvalues corresponding to the transmission layers may be determined, and further, based on the wideband eigenvalues, wideband power coefficients corresponding to the transmission layers may be determined.

Wherein the wideband characteristic value corresponding to each transmission layer is determined by the subband characteristic value corresponding to each transmission layer.

Specifically, for each transport layer, the wideband characteristic value for that transport layer may be determined by the subband characteristic value for each subband corresponding to that transport layer.

As an example, the alpha-th subband corresponds to the subband eigenvalue of transport layer i

The wideband corresponds to the wideband characteristic value of transport layer i +.>

Where α is the subband index, N _NB Representing the number of subbands.

Based on the above implementation, the wideband characteristic value of the wideband corresponding to each transport layer may be determined separately.

Specifically, when the wideband power coefficient of the wideband corresponding to each transmission layer is determined based on the wideband eigenvalue of the wideband corresponding to each transmission layer, for each transmission layer, the wideband power coefficient of the wideband corresponding to the transmission layer may be determined based on the wideband eigenvalue of the wideband corresponding to the transmission layer, so as to obtain the wideband power coefficient of the wideband corresponding to each transmission layer.

As an example, the wideband corresponding to the transmission layer i has a wideband eigenvalue S _i,WB The wideband power coefficient of the wideband corresponding to the transmission layer i is

As can be seen from the above expression, for each transport layer, the wideband characteristic value of the wideband corresponding to the transport layer is inversely proportional to the wideband power coefficient of the wideband corresponding to the transport layer, and if the wideband characteristic value of the wideband corresponding to the transport layer is larger, the channel condition corresponding to the transport layer is better, and thus the wideband power coefficient corresponding to the transport layer is smaller. Based on this, the wideband power coefficient of the wideband corresponding to each transmission layer can be determined in real time based on the corresponding wideband characteristic value, so as to adjust the wideband power coefficient corresponding to each wideband in different air interface environments.

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

Specifically, in determining the wideband power coefficient of each sub-band corresponding to each transmission layer, for each sub-band, the sub-band power coefficient of each transmission layer corresponding to the sub-band may be determined based on the sub-band characteristic value of each transmission layer corresponding to the sub-band.

As an example, the characteristic value of the sub-band of the alpha-th sub-band corresponding to the transmission layer i is

The subband power coefficient of the subband corresponding to the transport layer i is +.>

As can be seen from the above expression, for each transmission layer, the square root of the characteristic value of the sub-band corresponding to the transmission layer is inversely proportional to the sub-band power coefficient of the sub-band corresponding to the transmission layer, and if the characteristic value of the sub-band corresponding to the transmission layer is larger, the channel condition corresponding to the transmission layer is better, and the sub-band power coefficient corresponding to the transmission layer is smaller. In contrast, the power of the transmission layer with small characteristic value can be improved, and the powers of different channel conditions are balanced, so that the overall performance of the system is better. Based on this, the subband power coefficient of each subband corresponding to each transmission layer may be determined in real time based on the corresponding subband eigenvalue, so as to adjust the subband power coefficient corresponding to each subband in different air interface environments.

Step S14, determining the amplitude coefficient corresponding to each physical resource block PRB based on the sub-band power coefficient corresponding to each sub-band and the broadband power coefficient corresponding to the broadband.

In some possible embodiments, after determining the subband power coefficient corresponding to each subband and the wideband power coefficient corresponding to the wideband, the subband amplitude coefficient corresponding to each subband may be determined based on the subband power coefficient corresponding to each subband, the wideband amplitude coefficient corresponding to the wideband may be determined based on the wideband power coefficient corresponding to the wideband, and the amplitude coefficient corresponding to each PRB may be determined based on the subband amplitude coefficient corresponding to each subband and the wideband amplitude coefficient corresponding to the wideband.

Specifically, for each transmission layer, the wideband amplitude coefficient of the wideband corresponding to the transmission layer may be determined based on the wideband power coefficient of the wideband corresponding to the transmission layer, so as to obtain the wideband amplitude coefficient of the wideband corresponding to each transmission layer.

As an example, the wideband power coefficient corresponding to the transport layer i is wideband

The wideband amplitude coefficient of the wideband corresponding to the transmission layer i is +.>

Optionally, before determining the wideband amplitude coefficient of the wideband corresponding to each transmission layer, normalizing the wideband power coefficient of the wideband corresponding to each transmission layer to obtain a normalized wideband power coefficient of the wideband corresponding to each transmission layer, and determining the wideband amplitude coefficient of the wideband corresponding to each transmission layer based on the normalized wideband power coefficient of the wideband corresponding to each transmission layer

After normalizing the wideband power coefficient of the wideband corresponding to each transmission layer, the corresponding normalized wideband power coefficient is

And further based on normalized broadband power coefficient P' _i,WB Determining the wideband amplitude coefficient of the wideband corresponding to the transmission layer i as +.>

Specifically, for each transmission layer, a subband amplitude coefficient of the subband corresponding to the transmission layer may be determined based on a subband power coefficient of the subband corresponding to the transmission layer, so as to obtain a subband amplitude coefficient of the subband corresponding to each transmission layer.

As an example, the power coefficient of the sub-band of the alpha-th sub-band corresponding to the transmission layer i is

The subband amplitude coefficient of this subband corresponding to the transport layer i is +.>

Optionally, for each subband, before determining the subband amplitude coefficient of the subband corresponding to each transmission layer, the subband power coefficient of the subband corresponding to each transmission layer may be normalized to obtain a normalized subband power coefficient of the subband corresponding to each transmission layer, and determining the subband amplitude coefficient of the subband corresponding to each transmission layer based on the normalized subband power coefficient of the subband corresponding to each transmission layer

After the sub-band power coefficient of the sub-band corresponding to each transmission layer is normalized, the corresponding normalized sub-band power coefficient is

And is based on the normalized sub-band power coefficient +.>

Determining a subband amplitude coefficient of subband corresponding to transmission layer i as +.>

In some possible embodiments, after layer mapping, the network device maps the data corresponding to each transmission layer onto different subcarriers and different timeslots of different antenna ports, so as to achieve the purpose of diversity or multiplexing. Therefore, after determining the sub-band amplitude coefficient corresponding to each sub-band and the wideband amplitude coefficient corresponding to the wideband, the amplitude coefficients corresponding to different PRBs in the bandwidth may be determined based on the sub-band amplitude coefficient corresponding to each sub-band and the wideband amplitude coefficient corresponding to the wideband.

Specifically, for each PRB, it may be determined whether the PRB satisfies the SRS time domain condition and the frequency domain condition. And if the PRB meets the SRS time domain condition and the SRS frequency domain condition, determining the sub-band amplitude coefficient of the sub-band corresponding to each transmission layer of the PRB as the amplitude coefficient of the PRB corresponding to each transmission layer. If the PRB does not satisfy at least one of the SRS time domain condition or the SRS frequency domain condition, determining the wideband amplitude coefficient of the wideband corresponding to each transmission layer as the amplitude coefficient of the PRB corresponding to each transmission layer.

Specifically, the SRS time domain condition is that a time interval from a last SRS measurement is smaller than a duration threshold. For each PRB, the PRB satisfies the SRS time domain condition, specifically that the time interval between the current time and the last SRS measurement of the PRB is less than the duration threshold.

The duration threshold may be specifically determined based on the actual application scenario requirements or the actual configuration, which is not limited herein.

Specifically, the SRS frequency domain condition is that a distance between PRBs measured by the nearest existing SRS is smaller than a bandwidth threshold. For each PRB, the PRB satisfies the SRS frequency domain condition, specifically that a distance between the PRB and a nearest one of the PRBs in which the SRS measurement is present is less than a bandwidth threshold.

The bandwidth threshold may be specifically determined based on the actual application scenario requirements or the actual configuration, which is not limited herein.

For example, for each PRB, if the time interval between the current time and the last SRS measurement of the PRB is less than the duration threshold and the distance between the PRB and the last PRB of the PRBs with SRS measurement is less than the bandwidth threshold, determining the subband amplitude coefficient corresponding to the subband corresponding to the PRB to be the amplitude coefficient corresponding to each transport layer of the PRB.

If the sub-band corresponding to the PRB is the alpha-th sub-band, the PRB corresponds to the amplitude coefficient F of each transmission layer _i Subband amplitude coefficients corresponding to each transport layer for the subband

I.e. < ->

For example, for each PRB, if the time interval between the current time and the last SRS measurement of the PRB is not less than the duration threshold and/or the distance between the PRB and the last PRB of the PRBs in which the SRS measurement exists is not less than the bandwidth threshold, determining the subband amplitude coefficient of the wideband corresponding to each transport layer as the amplitude coefficient of the PRB corresponding to each transport layerAmplitude coefficient F at each transmission layer _i Wideband amplitude coefficient f corresponding to each transmission layer for wideband _i,WB I.e. F _i ＝f _i,WB 。

And step S15, transmitting downlink data based on the amplitude coefficient corresponding to each PRB.

In some possible embodiments, since the data corresponding to each transmission layer is ultimately mapped to a different RE corresponding to each antenna port, when determining to send downlink data based on the amplitude coefficient corresponding to each PRB, the amplitude coefficient corresponding to each RE in each PRB may be further determined.

Specifically, for each RE in each PRB, a target transport layer corresponding to downlink data corresponding to the RE may be determined, and then an amplitude coefficient of the PRB corresponding to the target transport layer is determined as an amplitude coefficient corresponding to the RE.

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

As an example, if a certain PRB corresponds to each transmission layer with an amplitude coefficient F _i The amplitude coefficient corresponding to RE corresponding to the transmission layer 1 in the PRB is F ₁ The amplitude coefficient corresponding to RE corresponding to the transmission layer 2 in the PRB is F ₂ 。

As an example, if the amplitude coefficient of a certain PRB corresponding to each transport layer is the subband amplitude coefficient of the alpha-th subband where it is located corresponding to each transport layer

The amplitude coefficient corresponding to each RE in the PRB is +.>

Further, after determining the amplitude coefficient corresponding to each RE in each PRB, the downlink data corresponding to each RE may be multiplied by the amplitude coefficient corresponding to the RE to obtain final sent downlink data, and the final downlink data is sent to the terminal device.

The data transmission method provided in the embodiment of the present application is described below with reference to fig. 2. Fig. 2 is a schematic flow chart of transmitting data when the transmission layer is 4 according to the embodiment of the present application.

If the port corresponding to the SRS is 4, a 4-port frequency domain channel estimation matrix of each RE of the SRS may be determined, and further, a 4-port correlation matrix corresponding to each subband in the wideband may be determined. And further, carrying out SVD (singular value decomposition) on the 4-port correlation matrix corresponding to each sub-band to obtain a 4-port eigenvalue matrix corresponding to each sub-band, and taking diagonal elements of the 4-port eigenvalue matrix corresponding to each sub-band to obtain the 4-stream eigenvalue corresponding to each sub-band. Wherein, each stream corresponds to one transport layer, and if the number of transport layers is 4, the 4-stream eigenvalue is an eigenvalue corresponding to 4 transport layers.

Further, root number taking operation is carried out on the 4-stream characteristic values corresponding to each sub-band to obtain corresponding 4-stream power coefficients, and reciprocal operation and normalization processing are carried out on the 4-stream power coefficients to obtain 4-stream amplitude coefficients corresponding to each sub-band.

On the other hand, based on each stream characteristic value corresponding to each sub-band, each stream characteristic value corresponding to the wideband is determined, and 4 stream characteristic values corresponding to the wideband are obtained. And performing root taking operation on the 4-stream characteristic values corresponding to the broadband to obtain corresponding 4-stream power coefficients, and performing reciprocal operation and normalization processing on the 4-stream power coefficients to obtain 4-stream amplitude coefficients corresponding to the broadband.

Finally, based on the 4-stream amplitude coefficient corresponding to each sub-band and the 4-stream amplitude coefficient corresponding to the wideband, the amplitude coefficient finally used by each PRB is determined, and downlink data is transmitted in the corresponding amplitude coefficient.

In the embodiment of the application, singular value decomposition is performed on the port correlation matrix corresponding to each sub-band, so that the wideband power coefficient corresponding to each transmission layer of the wideband and the sub-band power coefficient corresponding to each transmission layer of each sub-band are determined based on the singular value decomposition result. Because the characteristic value of the sub-band corresponding to each transmission layer of each sub-band is inversely proportional to the sub-band power coefficient corresponding to the sub-band, the characteristic value of the broadband corresponding to each transmission layer is inversely proportional to the broadband power coefficient corresponding to the broadband, the amplitude coefficient corresponding to the transmission layer with better channel condition is lower, and the amplitude coefficient corresponding to the transmission layer with worse channel condition is higher, so that the code word receiving performance between the transmission layers with different channel conditions is relatively close, and the receiving accuracy of the transmission layer to the code word is improved. On the other hand, based on the data transmission method provided by the embodiment of the application, the network equipment can adaptively adjust the corresponding power distribution among the transmission layers, so that the block error rate is reduced. Furthermore, the amplitude coefficient corresponding to each PRB is determined based on the power distribution proportion of the sub-band or the broadband corresponding to each transmission layer, the unused amplitude coefficient can be adapted for each PRB in different air interface environments, the efficiency of data transmission information and the downlink frequency spectrum of the cell is improved, and the applicability is high.

Referring to fig. 3, fig. 3 is a schematic structural diagram of a data transmission device according to an embodiment of the present application. The data transmission device 1 provided in the embodiment of the present application includes:

a first determining unit 11, configured to determine a frequency domain channel estimation matrix of each resource element RE of the sounding reference signal SRS;

a second determining unit 12, configured to determine a port correlation matrix corresponding to each subband in the wideband based on each frequency domain channel estimation matrix, and for each subband, perform singular value decomposition on the port correlation matrix corresponding to the subband to obtain a port eigenvalue matrix corresponding to the subband;

a third determining unit 13, configured to determine, based on a port eigenvalue matrix corresponding to each of the subbands, a subband power coefficient corresponding to each of the transmission layers for each of the subbands and a wideband power coefficient corresponding to each of the transmission layers for each of the wideband;

fourth determining means 14 for determining an amplitude coefficient corresponding to each physical resource block PRB based on the subband power coefficient corresponding to each subband and the wideband power coefficient corresponding to the wideband;

and a data transmitting unit 15 configured to transmit downlink data based on the amplitude coefficient corresponding to each PRB.

In some possible embodiments, the first determining unit 11 is configured to:

Determining the number of antennas of a transmitting antenna and the number of ports corresponding to SRS;

and determining a frequency domain channel estimation matrix of each RE of the SRS based on the number of antennas and the number of ports.

In some possible embodiments, the second determining unit 12 is configured to:

for each RE, determining a port correlation matrix corresponding to the RE based on a frequency domain channel estimation matrix corresponding to the RE;

for each of the subbands, determining a port correlation matrix corresponding to the subband based on the PRB corresponding to the subband, the RE corresponding to the subband and the port correlation matrix corresponding to each RE corresponding to the subband.

In some possible embodiments, the port correlation matrix corresponding to each RE is determined by the following expression:

R _k ＝(H _k ) ^T H _k ；

where k is the index of RE, H _k For the frequency domain channel estimation matrix corresponding to RE with index k, (H) _k ) ^T Is H _k Transposed matrix of R _k Is the port correlation matrix corresponding to RE with index k.

In some possible embodiments, the port correlation matrix corresponding to each of the above subbands is determined by the following expression:

/>

where NB denotes the subband, alpha is the index of the subband,

port correlation matrix, N, representing sub-bands with index alpha _prb M is the number of REs contained in each PRB, K is the number of PRBs contained in each PRB _NBstart Is the index of the starting RE corresponding to the subband with index alpha.

In some possible embodiments, the third determining unit 13 is configured to:

for each sub-band, determining a sub-band characteristic value of each transmission layer corresponding to the sub-band based on a port characteristic value matrix corresponding to the sub-band;

determining a wideband characteristic value of the wideband corresponding to each transmission layer based on a subband characteristic value corresponding to each subband, and determining a wideband power coefficient of the wideband corresponding to each transmission layer based on each wideband characteristic value;

for each of the sub-bands, determining a sub-band power coefficient of the sub-band corresponding to each of the transmission layers based on the sub-band characteristic value of the sub-band.

In some possible embodiments, the third determining unit 13 is configured to:

for each of the transport layers, a wideband characteristic value for the transport layer is determined based on a subband characteristic value for each of the subbands for the transport layer.

In some possible embodiments, the wideband power coefficient of the wideband corresponding to each of the transport layers is determined by the following expression:

Where i is the index of the transport layer, WB represents the wideband, S _i,WB For the broadband corresponding to the broadband characteristic value of the transmission layer with index i, P _i,WB The wideband corresponds to the wideband power coefficient of the transmission layer with index i.

In some possible embodiments, the subband power coefficient of each of the above subbands corresponding to each of the above transmission layers is determined by the following expression:

where i is the index of the transport layer, NB denotes the subband, alpha is the index of the subband,

indicating that the subband with index alpha corresponds to the subband eigenvalue of transport layer i，/>

The sub-band denoted as index a corresponds to the sub-band power coefficient of the transport layer with index i.

In some possible embodiments, the fourth determining unit 14 is configured to:

for each of the subbands, determining a subband amplitude coefficient for the subband corresponding to each of the transmission layers based on a subband power coefficient for the subband corresponding to each of the transmission layers;

determining a wideband amplitude coefficient of the wideband corresponding to each of the transmission layers based on the wideband power coefficient of the wideband corresponding to each of the transmission layers;

and determining the amplitude coefficient corresponding to each PRB based on the sub-band amplitude coefficient corresponding to each sub-band and the broadband amplitude coefficient corresponding to the broadband.

In some possible embodiments, the wideband amplitude coefficient corresponding to each of the transport layers is determined by the following expression:

where i is the index of the transport layer, WB represents the wideband, f _i,WB Representing the bandwidth corresponding to the wideband amplitude coefficient of the transmission layer with index i, P _i,WB The wideband corresponds to the wideband power coefficient of the transmission layer with index i.

In some possible embodiments, the subband amplitude coefficient of each of the above subbands corresponding to each of the above transmission layers is determined by the following expression:

indicating that the subband with index α corresponds to the subband amplitude coefficient of the transport layer with index i,/>

In some possible embodiments, the fourth determining unit 14 is configured to:

for each PRB, if the PRB satisfies an SRS time domain condition and an SRS frequency domain condition, determining a subband amplitude coefficient corresponding to a corresponding subband to each transport layer as an amplitude coefficient corresponding to the PRB, and if the PRB does not satisfy at least one of the SRS time domain condition or the SRS frequency domain condition, determining a wideband amplitude coefficient corresponding to each transport layer as an amplitude coefficient corresponding to the PRB;

The SRS time domain condition is that a time interval from a last SRS measurement is smaller than a duration threshold, and the SRS frequency domain condition is that a distance between PRBs with the SRS measurement closest to the last SRS measurement is smaller than a bandwidth threshold.

In some possible embodiments, the data sending unit 15 is configured to:

for each RE in each PRB, determining a target transmission layer corresponding to downlink data corresponding to the RE, and determining an amplitude coefficient of the PRB corresponding to the target transmission layer as an amplitude coefficient corresponding to the RE;

and transmitting downlink data based on the amplitude coefficient corresponding to each RE in each PRB.

In some possible embodiments, the third determining unit 13 is further configured to:

determining sub-band power coefficients of the sub-bands corresponding to the transmission layers and wideband power coefficients of the wideband corresponding to the transmission layers based on the port eigenvalue matrix corresponding to the sub-bands,

normalizing the sub-band power coefficient of each sub-band corresponding to each transmission layer, and normalizing the broadband power coefficient of each transmission layer corresponding to the broadband; the fourth determining unit 14 is specifically configured to determine an amplitude coefficient corresponding to each physical resource block PRB according to the subband power coefficient corresponding to each subband after normalization processing and the wideband power coefficient corresponding to the wideband.

It should be noted that, the data processing apparatus 1 provided in this embodiment of the present application can implement all the method steps implemented by the network device in the foregoing method embodiment, and can achieve the same technical effects, and the same parts and beneficial effects as those of the method embodiment in this embodiment are not described in detail herein.

It should be noted that, in the embodiment of the present application, the division of the units is schematic, which is merely a logic function division, and other division manners may be implemented in actual practice. In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a processor-readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution, in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the above-described method of the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Referring to fig. 4, fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device provided in the embodiments of the present application may be used as a network device in a communication system, including a memory 1220, a transceiver 1200, and a processor 1210.

Transceiver 1200 for receiving and transmitting data under the control of processor 1210, memory 1220 for storing computer programs, processor 1210 for reading the computer programs in memory 1220 to implement:

in some possible embodiments, the processor 1210 is configured to:

In some possible embodiments, the processor 1210 is configured to:

R _k ＝(H _k ) ^T H _k ；

Where NB denotes the subband, alpha is the index of the subband,

In some possible embodiments, the processor 1210 is configured to:

indicating that the subband with index α corresponds to the subband eigenvalue of transport layer i, +.>

In some possible embodiments, the processor 1210 is configured to:

In some possible embodiments, the processor 1210 is configured to:

In some possible embodiments, the processor 1210 is further configured to:

normalizing the sub-band power coefficient of each sub-band corresponding to each transmission layer, and normalizing the broadband power coefficient of each transmission layer corresponding to the broadband;

and determining the amplitude coefficient corresponding to each physical resource block PRB based on the sub-band power coefficient corresponding to each sub-band and the broadband power coefficient corresponding to the broadband, and specifically determining the amplitude coefficient corresponding to each physical resource block PRB by using the sub-band power coefficient corresponding to each sub-band and the broadband power coefficient corresponding to the broadband after normalization processing.

Wherein in fig. 4, a bus architecture may comprise any number of interconnected buses and bridges, and in particular one or more processors represented by processor 1210 and various circuits of memory represented by memory 1220, linked together. The bus architecture may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., which are well known in the art and, therefore, will not be described further herein. The bus interface provides an interface.

Transceiver 1200 may be a number of elements, including a transmitter and a receiver, providing a means for communicating with various other apparatus over transmission media, including wireless channels, wired channels, optical cables, etc. The user interface 1230 may also be an interface capable of interfacing with an internal connection requiring device for a different network device, including but not limited to a keypad, display, speaker, microphone, joystick, etc.

The processor 1210 is responsible for managing the bus architecture and general processing, and the memory 1220 may store data used by the processor 1210 in performing operations.

Alternatively, the processor 1210 may be a CPU (central processing unit), ASIC (Application Specific Integrated Circuit ), FPGA (Field-Programmable Gate Array, field programmable gate array) or CPLD (Complex Programmable Logic Device ), and the processor may also employ a multi-core architecture.

The processor is configured to execute the communication method applied to the network device in the first communication system according to the obtained executable instructions by calling the computer program stored in the memory. The processor and the memory may also be physically separate.

It should be noted that, the electronic device provided in the embodiment of the present application can implement all the method steps implemented by the network device in the embodiment of the present application, and can achieve the same technical effects, and the same parts and beneficial effects as those of the method embodiment in the embodiment are not described in detail herein.

The processor readable storage medium provided in the embodiments of the present application may execute all the method steps implemented by the network device in the embodiments of the present application through each built-in functional module, and specifically, reference may be made to the implementation manners provided by the foregoing steps, which are not described herein again.

In some possible embodiments, the processor-readable storage medium may be any available medium or data storage device that can be accessed by a processor, such as the aforementioned data transmission apparatus or electronic device internal storage unit, including, but not limited to, magnetic memories (e.g., floppy disks, hard disks, magnetic tapes, magneto-optical disks (MOs), etc.), optical memories (e.g., CD, DVD, BD, HVD, etc.), and semiconductor memories (e.g., ROM, EPROM, EEPROM, nonvolatile memory (NAND FLASH), solid State Disk (SSD)), etc. The processor readable storage medium may also be an external storage device of the electronic device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash card (flash card) or the like, which are provided on the electronic device. The processor-readable storage medium may also include a magnetic disk, an optical disk, a read-only memory (ROM), a random-access memory (random access memory, RAM), or the like. Further, the processor-readable storage medium may also include both an internal storage unit and an external storage device of the electronic device. The processor-readable storage medium is used to store the computer program as well as other programs and data needed by the electronic device. The processor-readable storage medium may also be used for temporarily storing data that has been output or is to be output.

The terms "first," "second," and the like in the claims and specification and drawings of this application are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or electronic device that comprises a list of steps or elements is not limited to the list of steps or elements but may, alternatively, include other steps or elements not listed or inherent to such process, method, article, or electronic device. Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments. The term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.

The foregoing disclosure is only illustrative of the preferred embodiments of the present application and is not to be construed as limiting the scope of the claims, and therefore, equivalent variations in terms of the claims are intended to be included herein.

Claims

1. A method of data transmission, the method comprising:

determining a port correlation matrix corresponding to each sub-band in a broadband based on each frequency domain channel estimation matrix, and carrying out singular value decomposition on the port correlation matrix corresponding to each sub-band to obtain a port eigenvalue matrix corresponding to the sub-band;

determining a sub-band power coefficient of each sub-band corresponding to each transmission layer and a broadband power coefficient of each transmission layer corresponding to the broadband based on a port eigenvalue matrix corresponding to each sub-band;

determining an amplitude coefficient corresponding to each Physical Resource Block (PRB) based on a sub-band power coefficient corresponding to each sub-band and a broadband power coefficient corresponding to the broadband;

2. The method of claim 1, wherein the determining the frequency domain channel estimation matrix for each RE of the SRS comprises:

3. The method of claim 1, wherein said determining a port correlation matrix for each subband based on each of said frequency domain channel estimation matrices comprises:

for each sub-band, determining a port correlation matrix corresponding to the sub-band based on the PRB corresponding to the sub-band, the RE corresponding to the sub-band and the port correlation matrix corresponding to each RE corresponding to the sub-band.

4. A method according to claim 3, wherein the port correlation matrix corresponding to each RE is determined by the following expression:

R _k ＝(H _k ) ^T H _k ；

5. The method of claim 4, wherein the port correlation matrix for each of the subbands is determined by the following expression:

Where NB denotes the subband, alpha is the index of the subband,

port correlation matrix, N, representing sub-bands with index alpha _prb For the number of PRBs included in the sub-bands, M is the number of REs included in each PRB, K _NBstart Is the index of the starting RE corresponding to the subband with index alpha.

6. The method of claim 1, wherein determining the subband power coefficients for each of the subbands for each of the transport layers and the wideband power coefficients for each of the transport layers based on the port eigenvalue matrix for each of the subbands comprises:

determining a wideband characteristic value of the wideband corresponding to each transmission layer based on the sub-band characteristic value corresponding to each sub-band, and determining a wideband power coefficient of the wideband corresponding to each transmission layer based on each wideband characteristic value;

for each sub-band, determining a sub-band power coefficient of the sub-band corresponding to each transmission layer based on the sub-band characteristic value corresponding to the sub-band.

7. The method of claim 6, wherein the determining the wideband characteristic value for each of the transport layers based on the subband characteristic value for each of the subbands comprises:

For each of the transport layers, determining a wideband characteristic value for the transport layer based on a subband characteristic value for each of the subbands for the transport layer.

8. The method of claim 6, wherein the wideband power coefficient for each of the transport layers is determined by the expression:

where i is the index of the transport layer, WB represents the wideband, S _i,WB For the wideband corresponding to the wideband eigenvalue of the transmission layer with index i, P _i,WB A wideband power coefficient corresponding to a transport layer indexed i for the wideband.

9. The method of claim 6 wherein the subband power coefficients for each of the subbands for each of the transport layers are determined by the following expression:

10. The method of claim 1, wherein the determining the amplitude coefficient for each physical resource block PRB corresponding to each transport layer based on the subband power coefficient for each subband and the wideband power coefficient for the wideband comprises:

For each of the subbands, determining 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 wideband amplitude coefficient of the wideband corresponding to each of the transport layers based on the wideband power coefficient of the wideband corresponding to each of the transport layers;

11. The method of claim 10, wherein the wideband amplitude coefficients for each of the transport layers are determined by the expression:

where i is the index of the transport layer, WB represents the wideband, f _i,WB Representing the wideband amplitude coefficient, P, of the wideband corresponding to the transmission layer indexed i _i,WB A wideband power coefficient corresponding to a transport layer indexed i for the wideband.

12. The method of claim 10, wherein the subband amplitude coefficients for each of the subbands for each of the transport layers are determined by the following expression:

/>

indicating that the subband with index α corresponds to the subband amplitude coefficient of the transport layer with index i,/ >

13. The method of claim 10, wherein the determining the corresponding amplitude coefficient for each PRB based on the corresponding subband amplitude coefficient for each subband and the corresponding wideband amplitude coefficient for the wideband comprises:

for each PRB, if the PRB satisfies an SRS time domain condition and an SRS frequency domain condition, determining a subband amplitude coefficient corresponding to each transmission layer with respect to the corresponding subband as an amplitude coefficient corresponding to each transmission layer with respect to the PRB, and if the PRB does not satisfy at least one of the SRS time domain condition or the SRS frequency domain condition, determining a wideband amplitude coefficient corresponding to each transmission layer with respect to the wideband as an amplitude coefficient corresponding to each transmission layer with respect to the PRB;

the SRS time domain condition is that a time interval from a last SRS measurement is smaller than a duration threshold, and the SRS frequency domain condition is that a distance between PRBs with the closest SRS measurement is smaller than a bandwidth threshold.

14. The method of claim 1, wherein the transmitting downlink data based on the amplitude coefficients of the PRBs corresponding to the transport layers comprises:

15. The method of claim 1, wherein determining the subband power coefficients for each of the subbands for each of the transport layers and the wideband power coefficients for each of the transport layers based on the port eigenvalue matrix for each of the subbands further comprises:

16. A data transmission apparatus, the apparatus comprising:

the second determining unit is used for determining a port correlation matrix corresponding to each sub-band in the broadband based on each frequency domain channel estimation matrix, and for each sub-band, performing singular value decomposition on the port correlation matrix corresponding to the sub-band to obtain a port eigenvalue matrix corresponding to the sub-band;

a third determining unit, configured to determine, based on a port eigenvalue matrix corresponding to each subband, a subband power coefficient corresponding to each transmission layer for each subband and a wideband power coefficient corresponding to each transmission layer for the wideband;

and the data transmitting unit is used for transmitting downlink data based on the amplitude coefficient corresponding to each PRB.

17. An electronic device comprising a memory, a transceiver, and a processor:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the method of any of claims 1 to 15.

18. A processor-readable storage medium, characterized in that the processor-readable storage medium stores a computer program for causing the processor to perform the method of any one of claims 1 to 15.