WO2020147135A1 - Procédé et appareil de traitement de livre-code, et terminal et dispositif de réseau - Google Patents
Procédé et appareil de traitement de livre-code, et terminal et dispositif de réseau Download PDFInfo
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- WO2020147135A1 WO2020147135A1 PCT/CN2019/072450 CN2019072450W WO2020147135A1 WO 2020147135 A1 WO2020147135 A1 WO 2020147135A1 CN 2019072450 W CN2019072450 W CN 2019072450W WO 2020147135 A1 WO2020147135 A1 WO 2020147135A1
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- matrix
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- quantized
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- components
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/06—Optimizing the usage of the radio link, e.g. header compression, information sizing, discarding information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L5/00—Arrangements affording multiple use of the transmission path
- H04L5/003—Arrangements for allocating sub-channels of the transmission path
- H04L5/0053—Allocation of signaling, i.e. of overhead other than pilot signals
Definitions
- terminal 120 may perform terminal direct connection (Device to Device, D2D) communication.
- D2D Terminal Direct connection
- the frequency-space joint codebook can be expressed as:
- the content of the channel information reported to the network includes: W 1 DFT vectors of L spatial beams, W f M frequency domain DFT basis vectors, and Quantified W 2 (in the embodiment of this application, the quantified W 2 is recorded as ).
- W 1 DFT vectors of L spatial beams W f M frequency domain DFT basis vectors
- Quantified W 2 in the embodiment of this application, the quantified W 2 is recorded as ).
- W 2 is still a sparse matrix, that is, the energy is concentrated on some specific elements, and most of the elements are small or negligible. How to quantify W 2 needs to be solved problem.
- Step 201 The terminal feeds back channel information to the network, the channel information includes R sets of quantized data, and each set of quantized data in the R sets of quantized data includes quantized information of spatial components and quantized information of frequency domain components, and R is a positive integer ;
- the R group of quantized data is used for the network side to determine the weighting coefficient of the spatial frequency domain pair.
- the elements in the a i and the c i use the same quantization table; or, the elements in the a i and the c i use different quantization tables.
- the elements in the a i and the c i use a 3-bit quantization table.
- the elements in the a i and the c i are all represented by 3 bits.
- the terminal feeds back to the network the quantized weighting coefficients of the spatial components and the quantized weighting coefficients of the frequency domain components respectively corresponding to the R components in the first matrix.
- the amplitude matrix K and the phase matrix P of W 2 are determined, and the feedback overhead mainly depends on the quantization of the amplitude matrix K.
- the terminal determines a fifth matrix based on the first matrix and the fourth matrix, and the fifth matrix Is the phase matrix of the fourth matrix; the terminal feeds back the fifth matrix to the network.
- the amplitude and phase of W 2 are independently quantized, and the content fed back to the network includes the quantized vector of the spatial component and the quantized vector of the frequency domain component corresponding to the R components of the amplitude matrix K, and the quantized phase matrix P.
- W 2 (that is, the first matrix) into the following form: W i is the rank 2, the i-th component of W 2 is Where a i and Represents a group of quantized data, a i is a diagonal matrix of the quantized weighting coefficients of the spatial component corresponding to the i-th component of W 2 , It is a diagonal matrix of the quantized weighting coefficients of the frequency domain component corresponding to the i-th component of W 2 . It should be noted that since W 2 is a complex matrix, a i and It is also a complex matrix.
- the value of R can be 1, or an integer greater than 1, such as 2, 3, 4, and so on.
- the value of R is configured by the base station or selected by the terminal. Further, if the value of R is selected by the terminal, the terminal feeds back the value of R selected by the terminal to the network.
- the values of R corresponding to different data layers are different; or, the values of R corresponding to different data layers are the same.
- the terminal calculates W 1 , W f and W 2 based on the number of beams L configured by the base station and the number of basis vectors M in the frequency domain.
- W 1 represents the DFT vectors of 2L spatial beams
- W f represents the DFT basis vectors of M frequency domains
- W 2 represents the weighting coefficient of the spatial frequency domain pair
- W 2 is a matrix with a size of 2L*M.
- K0 terminal selects a maximum amplitude in the element W 2, determining the position of the selected elements K0, i.e., matrix B is calculated, the element B is 0 or 1.
- W 2 is a matrix with a size of 2L*M, with a total of 2LM elements
- matrix B is a matrix with a size of 2L*M, with a total of 2LM elements.
- the position of the element selected by the terminal in W 2 is assumed to be (x, y), 1 ⁇ x ⁇ 2L, 1 ⁇ y ⁇ M, then the element at position (x,y) in matrix B takes the value 1, and the other elements take the value 0.
- Singular Value Decomposition is performed on the magnitude matrix K to obtain the left and right eigenvectors and their singular values
- R is selected front the terminal largest singular value and the corresponding left and right eigenvectors
- quantization weighting coefficient quantization weighting coefficient calculating spatial components of the diagonal of A i and the diagonal matrix of the frequency domain components of the matrix C i .
- a i is quantized based on the left eigenvector and singular value
- C i is quantized based on the right eigenvector and singular value.
- Do SVD on the amplitude matrix K to get: 1 ⁇ i ⁇ 4.
- Take the eigenvector corresponding to the largest eigenvalue and the second largest eigenvalue as with i 1, 2 and quantize the amplitude respectively to obtain:
- the terminal calculates the quantized phase matrix P.
- the amplitude matrix constructed by the base station can be expressed as: And then construct
- the terminal may be any device capable of communicating with the network, such as a mobile phone, a tablet computer, a notebook, a vehicle-mounted terminal, and a wearable device.
- the elements in A i use a 3-bit quantization table
- the elements in C i use a 2-bit quantization table.
- the elements in A i are represented by 3 bits.
- the elements in C i are represented by 2 bits.
- the elements in the a i use a 3-bit quantization table
- the elements in the c i use a 2-bit quantization table.
- the elements in the a i are represented by 3 bits
- the elements in c i are represented by 2bit.
- FIG. 7 is a schematic diagram 1 of the structural composition of a codebook processing device provided by an embodiment of the application.
- the codebook processing device in this embodiment is applied to a terminal. As shown in FIG. 7, the codebook processing device:
- the feedback unit 701 is configured to feed back channel information to the network.
- the channel information includes R sets of quantized data.
- Each set of quantized data in the R sets of quantized data includes quantized information of spatial components and quantized information of frequency domain components.
- R is A positive integer; the R group of quantized data is used for the network side to determine the weighting coefficient of the spatial frequency domain pair.
- the determining unit 702 is configured to determine the first matrix associated with the codebook; decompose the first matrix into the following forms: Where i is a positive integer, the value of the element in B is 0 or 1, A i is the diagonalized matrix of the quantization weight coefficients of the spatial component corresponding to the i-th component of the first matrix, C i is a diagonalized matrix of the quantized weight coefficients of the frequency domain components corresponding to the i-th component of the first matrix;
- the feedback unit 701 is configured to feed back to the network the quantization weighting coefficients of the spatial components and the quantization weighting coefficients of the frequency domain components respectively corresponding to the R components in the first matrix.
- the number of beams in the space and the number of basis vectors in the frequency domain are configured by the base station.
- the determining unit 702 is further configured to determine a fifth matrix based on the first matrix and the fourth matrix when the first matrix is the amplitude matrix of the fourth matrix , The fifth matrix is the phase matrix of the fourth matrix;
- the feedback unit 701 is further configured to feed back the fifth matrix to the network.
- the value of R is configured by the base station or selected by the terminal.
- Fig. 8 is a schematic diagram of the second structure of the codebook processing apparatus provided by an embodiment of the application.
- the codebook processing apparatus in this embodiment is applied to a network device, such as a base station, as shown in Fig. 8.
- This processing device :
- the elements in the A i and the C i use the same quantization table; or,
- the value of R is configured by the base station or selected by the terminal.
- the chip 700 may further include a memory 720.
- the processor 710 can call and run a computer program from the memory 720 to implement the method in the embodiment of the present application.
- the chip 700 may further include an input interface 730.
- the processor 710 can control the input interface 730 to communicate with other devices or chips. Specifically, it can obtain information or data sent by other devices or chips.
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- Signal Processing (AREA)
- Computer Networks & Wireless Communication (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
L'invention concerne un procédé et un appareil de traitement de livre-code, et un terminal et un dispositif de réseau. Selon le procédé, un terminal retourne des informations de canal à un réseau, les informations de canal comprenant R groupes de données quantifiées, chaque groupe de données quantifiées des R groupes de données quantifiées comprenant des informations de quantification d'une composante spatiale et des informations de quantification d'une composante de domaine fréquentiel, R est un nombre entier positif, et les R groupes de données quantifiées sont utilisés par un côté réseau pour déterminer un coefficient de pondération d'une paire de domaines de fréquence spatiale.
Priority Applications (2)
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CN201980002765.XA CN110754111B (zh) | 2019-01-20 | 2019-01-20 | 一种码本处理方法及装置、终端、网络设备 |
PCT/CN2019/072450 WO2020147135A1 (fr) | 2019-01-20 | 2019-01-20 | Procédé et appareil de traitement de livre-code, et terminal et dispositif de réseau |
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PCT/CN2019/072450 WO2020147135A1 (fr) | 2019-01-20 | 2019-01-20 | Procédé et appareil de traitement de livre-code, et terminal et dispositif de réseau |
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CN115118316B (zh) * | 2021-03-19 | 2024-04-26 | 北京紫光展锐通信技术有限公司 | 类型ⅱ端口选择码本的反馈、确定方法及装置、计算机可读存储介质 |
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US20050058208A1 (en) * | 2003-09-17 | 2005-03-17 | Matsushita Electric Industrial Co., Ltd. | Apparatus and method for coding excitation signal |
CN104604153A (zh) * | 2013-06-25 | 2015-05-06 | 华为技术有限公司 | Mimo发射信号加权方法、设备及系统 |
CN106160938A (zh) * | 2015-04-20 | 2016-11-23 | 中兴通讯股份有限公司 | 一种信道信息的获取方法和装置 |
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US8446971B2 (en) * | 2010-08-23 | 2013-05-21 | Intel Corporation | Communication station and method for efficiently providing channel feedback for MIMO communications |
CN102868500A (zh) * | 2011-07-07 | 2013-01-09 | 华为技术有限公司 | 信道信息的反馈方法、终端和基站 |
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- 2019-01-20 WO PCT/CN2019/072450 patent/WO2020147135A1/fr active Application Filing
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US20050058208A1 (en) * | 2003-09-17 | 2005-03-17 | Matsushita Electric Industrial Co., Ltd. | Apparatus and method for coding excitation signal |
CN104604153A (zh) * | 2013-06-25 | 2015-05-06 | 华为技术有限公司 | Mimo发射信号加权方法、设备及系统 |
CN106160938A (zh) * | 2015-04-20 | 2016-11-23 | 中兴通讯股份有限公司 | 一种信道信息的获取方法和装置 |
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