WO2012163125A1 - Procédé et système pour un retour de données de voie - Google Patents

Procédé et système pour un retour de données de voie Download PDF

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Publication number
WO2012163125A1
WO2012163125A1 PCT/CN2012/072146 CN2012072146W WO2012163125A1 WO 2012163125 A1 WO2012163125 A1 WO 2012163125A1 CN 2012072146 W CN2012072146 W CN 2012072146W WO 2012163125 A1 WO2012163125 A1 WO 2012163125A1
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WO
WIPO (PCT)
Prior art keywords
feedback
matrix
rotation
channel information
base station
Prior art date
Application number
PCT/CN2012/072146
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English (en)
Chinese (zh)
Inventor
姜静
郁光辉
朱常青
Original Assignee
中兴通讯股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中兴通讯股份有限公司 filed Critical 中兴通讯股份有限公司
Publication of WO2012163125A1 publication Critical patent/WO2012163125A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H04L1/0026—Transmission of channel quality indication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H04B7/0478—Special codebook structures directed to feedback optimisation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0658—Feedback reduction
    • H04B7/0663—Feedback reduction using vector or matrix manipulations
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H04L1/0028—Formatting
    • H04L1/0029—Reduction of the amount of signalling, e.g. retention of useful signalling or differential signalling
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/02—Arrangements for detecting or preventing errors in the information received by diversity reception
    • H04L1/06—Arrangements for detecting or preventing errors in the information received by diversity reception using space diversity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L25/00—Baseband systems
    • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
    • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
    • H04L25/03006—Arrangements for removing intersymbol interference
    • H04L2025/03777—Arrangements for removing intersymbol interference characterised by the signalling
    • H04L2025/03802—Signalling on the reverse channel
    • H04L2025/03808—Transmission of equaliser coefficients

Definitions

  • the present invention relates to the field of communications, and in particular, to a channel information feedback method and system. Background technique
  • Cooperative Multipoint Transmission (CoMP) technology can effectively improve the frequency utilization of the system, and can effectively suppress inter-user interference through coordinated processing between cells.
  • the user needs to simultaneously feed back the channel information of the local cell and its coordinated cell, and the amount of feedback is large. Therefore, the user performs quantization and compression on the estimated channel state information (CSI), and then feeds back the quantized bit information to the base station.
  • the base station reconstructs the channel according to the quantized information obtained by the feedback, and designs a precoding matrix. This can effectively suppress inter-user interference through inter-cell cooperation, and improve the edge throughput and average throughput of the cell.
  • scalar quantization Traditional channel quantization compression schemes are mainly divided into two types: scalar quantization and vector quantization.
  • One method in scalar quantization is to quantize each element in the matrix to a fixed number of bits; another method is to quantize the diagonal elements and upper triangular elements of the channel covariance matrix by a fixed number of bits.
  • Scalar quantization has a lot to do with the number of elements that need to be quantized. When the number of elements to be quantized is large, a large amount of feedback is needed.
  • Vector quantization can effectively reduce the amount of feedback. The idea is: First, select the codeword that reaches the user's maximum energy from the predetermined codebook, and then feed back the codeword index. For relative scalar quantization, vector quantization can effectively reduce the number of quantization bits and improve system performance.
  • system complexity is greatly increased because of the need for joint optimization search for the codebook of each cell. Summary of the invention
  • the main object of the present invention is to provide a channel information feedback method and system, Effectively reduce system complexity based on system performance.
  • a channel information feedback method includes:
  • the precoding matrix that needs feedback is decomposed into a product of a plurality of Givens rotation matrices, each rotation matrix being only related to the rotation angle; and the corresponding rotation angle of the rotation matrix that completes the decomposition is fed back.
  • the value range is [ 0 , 2 ], and the range of ⁇ is [ 0 , /2 ];
  • the channel information feedback matrix of the terminal to the first coordinated base station v 2 is a channel information feedback matrix of the terminal to the second coordinated base station, and V N is a channel information feedback matrix of the terminal to the Nth cooperative base station.
  • Each channel information feedback matrix adopts the same feedback format as the single cell; or, based on the first feedback matrix, the backward N-1 feedback matrices are sequentially fed back in the form of a difference.
  • a channel information feedback system comprising a decomposition unit and a feedback unit; wherein
  • the decomposition unit is configured to decompose a precoding matrix that needs feedback into a product of a plurality of Givens rotation matrices, each rotation matrix being only related to a rotation angle;
  • the feedback unit is configured to feed back a corresponding rotation angle of the rotation matrix that is decomposed by the decomposition unit.
  • the value range is [0, 2 ]
  • the range of ⁇ is [ 0 , /2 ]
  • And ⁇ are quantized with different bits.
  • the rotation angle fed back by the feedback unit is expressed in the form of a feedback matrix.
  • the channel information feedback matrix of the terminal to the first coordinated base station v 2 is a channel information feedback matrix of the terminal to the second coordinated base station, and V N is a channel information feedback matrix of the terminal to the Nth cooperative base station.
  • Each channel information feedback matrix adopts the same feedback format as the single cell; or, based on the first feedback matrix, the backward N-1 feedback matrices are sequentially fed back in the form of a difference.
  • the channel information feedback technique of the present invention is a channel compression quantization feedback scheme based on Givens transform.
  • the M-dimensional vector can be transformed into a vector with only one non-zero element by continuous Given rotation, and the pre-coding matrix that needs feedback can be converted into a finite angle value by continuous Givens rotation, and the base station can reconstruct the quantized angle by using these feedbacks.
  • the channel matrix, and thus the precoding vector can effectively reduce the feedback overhead.
  • the present invention can effectively reduce the number of quantized elements and thus reduce the amount of feedback; whereas with respect to vector quantization, since only the decomposition quantization operation is required, joint optimization search is not required, and thus the system performance can be guaranteed. Effectively reduce system complexity.
  • Figure 1 shows the system model of CoMP
  • FIG. 2 is a schematic diagram of a channel information feedback process according to an embodiment of the present invention.
  • FIG. 3 is a diagram of a channel information feedback system according to an embodiment of the present invention. detailed description
  • a channel compression quantization feedback scheme based on Gwyneth Givens rotation can be proposed.
  • the precoding matrix can be decomposed into a series of Givens rotation matrix products by correlation transformation, and each rotation matrix is only related to the rotation angle. This only needs to quantify each rotation angle Degree, the sender can use the feedback information to get the corresponding Givens rotation matrix to reconstruct the channel matrix.
  • the feedback content is the rotation angle associated with the Given rotation matrix, and a finite rotation angle can be quantized with a fixed number of bits. Then, the base station reconstructs the channel using the quantized rotation angle obtained from the feedback link, and calculates a precoding matrix.
  • this scheme can effectively reduce the number of quantized elements and reduce the amount of feedback.
  • vector quantization because only the decomposition and quantization operations need to be performed, there is no need to jointly optimize the search, so it can guarantee the performance of the system. Effectively reduce system complexity.
  • eNBs base stations 1 and eNB2 in the system, which jointly perform coordinated transmission for two user equipments (UE) 1 and UE 2, as shown in FIG. .
  • the number of antennas of the base station is M, and the number of UE antennas is N.
  • the linear precoding matrix of UE 1 and UE 2 can be represented by and respectively, and the received signal can be expressed by the following formula:
  • the ⁇ and ⁇ are the data symbols sent to UE 1 and UE 2, respectively, ⁇ ⁇ and the additive Gaussian zero-mean white noise representing the receiving end (noise variance) For 2 ).
  • the client is an MRC (Maximum Ratio Combining) receiver, and the UE receiving channel ratio can be expressed as:
  • the UE rate can be expressed as:
  • the sum rate of the system can be obtained by the symmetry of the UE:
  • G ⁇ X is equivalent to rotating the X clockwise by an angle of ⁇ in the X -y plane and then falling on the X-axis, and the modulus of the vector after rotation remains unchanged, namely:
  • the Givens matrix can be extended to the rank 2 correction matrix of the identity matrix:
  • the precoding matrix that needs feedback can be decomposed into the products of several Givens rotation matrices, and the channel information can be reconstructed at the receiving end by simply feeding back the corresponding rotation angle.
  • the specific quantization compression steps are as follows:
  • the first element of the second column of the transformed ⁇ is 0, and the value is determined by the column orthogonality of ⁇ .
  • the D i and Gli used in the above transformation are all ⁇ matrices, so the inverse transform of the above transform can be used.
  • the UE only needs to feedback and can use these ⁇ and ⁇ reconstructions at the base station end.
  • the right singular matrix of the cooperative base station to the UE channel matrix can be fed back.
  • the above range of values is [ 0 , 2 ], and the range of ⁇ is [ 0 , /2 ], which can be quantized by different bits, for example:
  • ⁇ is the number of quantization bits of ⁇
  • + 2 is the number of quantization bits.
  • Each channel information feedback matrix may adopt the same feedback format as the single cell, or may be based on the first feedback matrix, and the subsequent N-1 feedback matrices are sequentially inverted in the form of a difference.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • Each channel information feedback matrix can adopt the same feedback format as the single cell, that is, the same quantization method as that of equation (17).
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • 1 ⁇ 4 is the channel information feedback matrix of the terminal to the first cooperative base station
  • v 2 is the channel information feedback matrix of the terminal to the second cooperative base station
  • V N It is a channel information feedback matrix from the terminal to the Nth cooperative base station.
  • the first feedback matrix of each channel information feedback matrix is used as a reference, and the last N-1 feedback matrices are sequentially fed back in the form of differences.
  • the first matrix 1 ⁇ 4 is formed by the same quantization method as (17), where is the number of quantization bits of ⁇ , and the number of quantization bits of + 2 is;
  • the feedback value of the second matrix is ⁇ 2- ⁇ 1, ⁇ 2- ⁇ 1 , the differential value ⁇ 2- ⁇ 1 is fed back with b-2 bits, Feedback with b bits.
  • the feedback value of the Nth matrix is ⁇ - ⁇ ⁇ , ⁇ ⁇ - ⁇ 1 , and the differential value ⁇ - ⁇ 1 is fed back with b-2 bits, and ⁇ ⁇ - ⁇ 1 is fed back with b bits.
  • the operation of channel information feedback in the present invention may represent the process shown in FIG. 2, and the process includes the following steps:
  • Step 210 Decompose the precoding matrix that needs feedback into a product of multiple Givens rotation matrices, and each rotation matrix is only related to the rotation angle.
  • Step 220 Feedback the corresponding rotation angle of the rotation matrix that completes the decomposition.
  • FIG. 3 is a diagram of a channel information feedback system according to an embodiment of the present invention, where the system includes a connected decomposition unit and a feedback unit.
  • the decomposition unit can decompose the precoding matrix that needs feedback into a product of multiple Givens rotation matrices, each rotation matrix is only related to the rotation angle; the feedback unit can feed back the rotation matrix that is decomposed by the decomposition unit. The corresponding rotation angle.
  • the channel information feedback technique of the present invention is a channel compression quantization feedback scheme based on Givens transform, whether it is a method or a system.
  • the M-dimensional vector can be transformed into a vector with only one non-zero element by continuous Given rotation, and then the pre-coding matrix that needs feedback can be converted into a finite angle value by using successive Givens rotation, and the base station can reconstruct the channel by using these feedbackd quantization angles.
  • the matrix, and thus the precoding vector can effectively reduce the feedback overhead.
  • the present invention can effectively reduce the number of quantized elements and thus reduce the amount of feedback; whereas with respect to vector quantization, since only the decomposition quantization operation is required, joint optimization search is not required, and thus the system performance can be guaranteed. Effectively reduce system complexity.

Abstract

La présente invention se rapporte à un procédé et à un système adaptés pour retourner des données de voie. Le procédé et le système selon l'invention sont aptes à décomposer une matrice de précodage devant être retournée, en un produit d'une pluralité de matrices de rotation de Givens, chaque matrice de rotation correspondant à un angle de rotation. Ensuite, les angles de rotation correspondants des matrices de rotation décomposées sont retournés. Le procédé et le système selon la présente invention sont une solution de rétroaction de compression de canal et de quantification, basée sur une transformée de Givens. Cette solution peut utiliser en continu des rotations de Givens afin de convertir une matrice de précodage devant être retournée, en une valeur angulaire finie. D'autre part, une station de base peut utiliser ces angles quantifiés et retournés dans le but de rétablir une matrice de voies. Ceci permet de calculer un vecteur de précodage et de réduire ainsi de façon efficace des surdébits de rétroaction. En ce qui concerne une quantification scalaire conventionnelle, comme la présente invention est apte à réduire de façon efficace le nombre des éléments de quantification, le volume de rétroaction peut être réduit ; et, en ce qui concerne une quantification vectorielle, comme il faut simplement réaliser une décomposition et une opération de quantification, il est possible de réduire de façon significative la complexité du système tout en garantissant un niveau élevé de performance du système.
PCT/CN2012/072146 2011-06-02 2012-03-09 Procédé et système pour un retour de données de voie WO2012163125A1 (fr)

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CN2011101472951A CN102811111A (zh) 2011-06-02 2011-06-02 一种信道信息反馈方法和系统
CN201110147295.1 2011-06-02

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CN106160808B (zh) * 2015-04-10 2019-10-29 上海无线通信研究中心 一种多用户mimo系统及方法
US9887749B2 (en) 2015-12-16 2018-02-06 Huawei Technologies Co., Ltd. System and method for quantization of angles for beamforming feedback
US10448053B2 (en) * 2016-02-15 2019-10-15 Qualcomm Incorporated Multi-pass non-separable transforms for video coding
US10390048B2 (en) 2016-02-15 2019-08-20 Qualcomm Incorporated Efficient transform coding using optimized compact multi-pass transforms
US11095893B2 (en) 2016-10-12 2021-08-17 Qualcomm Incorporated Primary transform and secondary transform in video coding
WO2018112395A1 (fr) * 2016-12-16 2018-06-21 Marvell World Trade Ltd. Formation de faisceau à faible complexité avec rétroaction compressée
DE102019117402B3 (de) * 2019-03-15 2020-07-02 Samsung Electronics Co., Ltd. Vorrichtung und Verfahren für eine nichtiterative Singulärwertzerlegung

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