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CN-122003815-A - Method and apparatus for supporting transmissions between network devices

CN122003815ACN 122003815 ACN122003815 ACN 122003815ACN-122003815-A

Abstract

Various aspects of the present disclosure relate to methods for exchanging data between a baseband unit (BBU) and a Remote Radio Unit (RRU) (or Remote Radio Head (RRH) or Active Antenna Unit (AAU)), which support reducing the complexity of mathematical operations performed at the RRU/RRH/AAU. Various aspects of the present disclosure relate to methods for exchanging data between a BBU and an RRU (or (RRH or AAU)), which support reducing transmission bandwidth between the BBU and the RRU/RRH/AAU.

Inventors

  • BI XIAOYAN
  • TONG WEN
  • GE YIQUN
  • MA JIANGLEI
  • SHI WUXIAN

Assignees

  • 华为技术有限公司

Dates

Publication Date
20260508
Application Date
20231024

Claims (19)

  1. 1.A method, comprising: The first network side device receives first information and second information of each Resource Block Group (RBG) in a plurality of RBGs from a second network side device, wherein the second information is a function of an N Tx ×N Rx orthogonal projection matrix obtained by decomposing a channel matrix H, N Tx is the number of transmitting antennas or antenna ports, and N Rx is the number of receiving antennas or antenna ports; the first network side device determines a precoding matrix by multiplying the first information and third information, wherein the third information is a function of the second information.
  2. 2. The method of claim 1, wherein the first information is The first information is × A matrix, diagonal elements of the matrix being , wherein, Identifying N groups of User Equipments (UEs), n=1 to , Is the maximum number of groups of UEs, Is a matrix of N Rx ×N Rx elements, where k=1 to , Is the rank of each UE group.
  3. 3. The method according to claim 1 or 2, wherein the second information comprises: An index associated with the N Tx ×N Rx orthogonal projection matrix; Identification of groups of two or more UEs.
  4. 4. The method of claim 3, further comprising the first network side device determining , wherein, Is the N Tx ×N Rx orthogonal projection matrix associated with the received index, wherein, Is a reference channel for a UE group, n=1 to 。
  5. 5. The method of claim 3 or 4, further comprising the first network side device storing a set of N Tx ×N Rx orthogonal projection matrices in memory, each matrix having an associated index.
  6. 6. The method according to claim 4 or 5, further comprising the first network side device determining In the form of said third information.
  7. 7. The method according to claim 1 or 2, characterized in that the third information is equal to the second information, which is 。
  8. 8. The method of any one of claims 1 to 7, further comprising receiving feedback of highly compressed channel measurements to determine the channel matrix H.
  9. 9. An apparatus, comprising: one or more processors configured to: Receiving first information and second information of each Resource Block Group (RBG) in a plurality of RBGs from a network side device, wherein the second information is a function of N Tx ×N Rx orthogonal projection matrixes obtained by decomposing a channel matrix H, N Tx is the number of transmitting antennas or antenna ports, and N Rx is the number of receiving antennas or antenna ports; a precoding matrix is determined by multiplying the first information and a third information, wherein the third information is a function of the second information.
  10. 10. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of an apparatus, cause the apparatus to perform a method comprising: Receiving first information and second information of each Resource Block Group (RBG) in a plurality of RBGs from a network side device, wherein the second information is a function of N Tx ×N Rx orthogonal projection matrixes obtained by decomposing a channel matrix H, N Tx is the number of transmitting antennas or antenna ports, and N Rx is the number of receiving antennas or antenna ports; a precoding matrix is determined by multiplying the first information and a third information, wherein the third information is a function of the second information.
  11. 11. A method, comprising: The first network side device sends first information and second information of each Resource Block Group (RBG) in a plurality of RBGs to the second network side device, wherein the second information is a function of an N Tx ×N Rx orthogonal projection matrix obtained by decomposing a channel matrix H, N Tx is the number of transmitting antennas or antenna ports, and N Rx is the number of receiving antennas or antenna ports.
  12. 12. The method of claim 1, wherein the first information is The first information is × A matrix, diagonal elements of the matrix being , wherein, Identifying N groups of User Equipments (UEs), n=1 to , Is the maximum number of groups of UEs, Is a matrix of N Rx ×N Rx elements, where k=1 to , Is the rank of each UE group.
  13. 13. The method according to claim 11 or 12, wherein the second information comprises: An index associated with the N Tx ×N Rx orthogonal projection matrix; Identification of groups of two or more UEs.
  14. 14. The method according to claim 11 or 12, wherein the third information is equal to the second information, the second information being 。
  15. 15. The method of claim 14, further comprising the first network side device determining , wherein, Is the N Tx ×N Rx orthogonal projection matrix associated with the received index, wherein, Is a reference channel for a UE group, n=1 to 。
  16. 16. The method of claim 15, further comprising the first network side device determining In the form of said second information.
  17. 17. The method of any one of claims 11 to 16, further comprising the first network side device storing a set of N Tx ×N Rx orthogonal projection matrices in memory, each matrix having an associated index.
  18. 18. An apparatus, comprising: one or more processors configured to: and sending first information and second information of each Resource Block Group (RBG) to a network side device, wherein the second information is a function of N Tx ×N Rx orthogonal projection matrixes obtained by decomposing a channel matrix H, N Tx is the number of transmitting antennas or antenna ports, and N Rx is the number of receiving antennas or antenna ports.
  19. 19. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor of an apparatus, cause the apparatus to perform a method comprising: And sending first information and second information of each Resource Block Group (RBG) to a second network side device, wherein the second information is a function of N Tx ×N Rx orthogonal projection matrixes obtained by decomposing a channel matrix H, N Tx is the number of sending antennas or antenna ports, and N Rx is the number of receiving antennas or antenna ports.

Description

Method and apparatus for supporting transmissions between network devices Technical Field The present disclosure relates generally to wireless communications, and more particularly to methods and apparatus for supporting transmissions between network devices. Background Multiple-input multiple-output (multiple input multiple output, MIMO) systems are widely deployed in modern wireless systems to improve system capacity and bandwidth efficiency by exploiting spatial diversity between antenna ports. For example, on a given subcarrier or Resource Element (RE), there isTransmitter with multiple transmit antenna ports and method of operating the sameReceivers of the individual receive antenna ports generate×MIMO channels, which are formed by×Complex matrixThe complex matrix can be decomposed into singular value decomposition (singular vector decomposition, SVD)In the form of (c), wherein,Is that×Square orthogonal matrix (meet),Is that×Square orthogonal matrix (meet),Is that×Is a rectangular diagonal matrix of (a).Rank of%) Not greater thanAndThe smaller of (a), i.e. According to standard SVD, if the transmitter applies a precoding matrixWhile the receiver is a receiving matrixThen×The MIMO channel may be represented asIndividual and parallel (orthogonal) subchannels as shown in the following mathematical expression: each sub-channel has a scale value channel response [ ] ) I.e.Is the i-th diagonal element of (singular value,). Accordingly, the signal-to-noise ratio (SNR) on the ith sub-channel is defined as. In a wireless system, only subchannels with SNR greater than a threshold are considered valid for transmission. These active subchannels may be referred to as MIMO streams. Truncated MIMO decomposition scheme based on SNR converts standard SVD to reduced rank SVD by discarding sub-channels with SNR below a threshold in the form of, wherein,Is that×Orthogonal matrix (satisfy),Is that×Orthogonal matrix (satisfy),Is that×Square diagonal matrix.The number of MIMO streams is. When the transmitter applies the precoding matrixAnd the corresponding receiver applies the receiving matrixIn the time-course of which the first and second contact surfaces,×The MIMO channel can be expressed as: 。 In the reduced rank SVD, Is that×A diagonal matrix. Mathematically speaking, the precoding matrix of the transmitting endAnd a receiving matrix of the receiving endOver MIMO channelsThe linear transformation provides a synergistic effect of the entire MIMO channel on the active subchannels. MIMO gain or spatial diversity gain (by SNRRepresentation) is due to the inherent spatial diversity of the MIMO channel between the transmitter and the receiver, which is relevant to the wireless environment. Experience has shown that wireless channels in complex environments (such as urban areas) have more MIMO streams than wireless channels in simple rural environments, because urban tall buildings may typically produce more spatial diversity due to more wireless reflectivity. To achieve higher MIMO gain, wireless systems may increase the number of antenna ports, i.eAndThis may be due toWhile increasing the upper limit of the number of potential MIMO streams. But in reality the number of the key-points in the key-points,Far below its upper limit. This has prompted the deployment of multi-user MIMO (MU-MIMO). If the number of MIMO streams generated by one MIMO channel of one user is insufficient, several MIMO channels of multiple users may pass through a common precoderMultiplexing. When two MIMO channels on the same REAndWhen very different from each other, it is likely that a common precoder is foundTo multiplex the two channels at the transmitting end and to separate the two channels at the receiving end. Or when two MIMO channels on the same REAndAlmost equally, it is unlikely to find a common precoderTo multiplex the two channels at the transmitting end and to separate the two channels at the receiving end. Mathematically, such a common precoderAnd precoderAndAnd (5) correlation. In practice, a widely used method is based on intrinsic zero forcing (eigen-zero forcing, EZF). Two precoders of reduced rank SVD on MIMO channels may be connected as one, e.g., toIn the form of a representation of (c), wherein,Is that×A matrix. In EZF, the common precoder is, wherein,Is that×A matrix. If it isAndOrthogonal to each other, thenIn the vicinity of the identity matrix,This means that the transmitter can continue to use the precoding matrix for UE1And uses the precoding matrix for UE2To multiplex REs at the same time without generating multiple-access-interference (MAI). If it isAndIdentical, thenApproaching the singular matrix, which means that there is no common precoderAvailable, therefore, the two UEs cannot be paired together. In practice, most cases lie between these two extremes, i.eNeither the identity nor the singular matrices. The transmitter may calculate a common precoder for all possible combinations and then determine the best combinatio