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Nonlinear precoding method, device and system based on downlink multiuser-multiple-input single-output (MU-MISO)

A precoding and non-linear technology, applied in the field of non-linear precoding based on downlink MU-MISO, can solve problems such as large amount of calculation, poor overall bit error rate performance, cumbersome process of finding the optimal sorting matrix, etc., and achieve low Effect of complexity, optimal system bit error rate performance

Inactive Publication Date: 2013-04-24
RESEARCH INSTITUTE OF TSINGHUA UNIVERSITY IN SHENZHEN
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  • Claims
  • Application Information

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Problems solved by technology

There are two main problems in this algorithm: first, the process of finding the optimal sorting matrix is ​​cumbersome and requires a large amount of calculation; second, the precoding matrix at the sending end is forced to be a unitary matrix, and the overall bit error rate performance of the system is not good.

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  • Nonlinear precoding method, device and system based on downlink multiuser-multiple-input single-output (MU-MISO)
  • Nonlinear precoding method, device and system based on downlink multiuser-multiple-input single-output (MU-MISO)
  • Nonlinear precoding method, device and system based on downlink multiuser-multiple-input single-output (MU-MISO)

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[0015] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0016] First, the common vector and matrix operation expressions used in this manual are explained as follows: For vector a, ||a|| 2 Represents finding the 2-norm of a. For matrix A, A T Represents the transpose of A, A H Represents the conjugate transpose of A, A * Represents taking the conjugate of A, A -1 Represents the inverse operation of A, A -H The inverse operation of the conjugate transpose of A, ||A|| F Represents the Frobenius norm for A, I K Represents the K-order identity matrix, and 0K represents the K-order zero matrix.

[0017] Please refer to Figure 1~Figure 3 , the following diagrams are used to illustrate the signal processing flow of the new MMSE-THP algorith...

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Abstract

The invention discloses a nonlinear precoding method, a device and a system based on downlink multiuser-multiple-input single-output (MU-MISO). The method includes the steps of initialization, Minimum Mean Square Error (MMSE) matrix calculation, sequenced matrix enumeration, triangle diagonalization decomposition, optimum sequenced matrix finding, and MMSE-Tomlinson-Harashima precoding (THP) preprocessing matrix calculation. According to the embedment, sequenced matrixes, feedback matrix and precoding matrix of a triangle diagonalization decomposition calculating base station are utilized, and thereby the technical effect that a better system bit error rate performance is obtained with a lower complex rate is achieved.

Description

technical field [0001] The present invention relates to the field of downlink multi-user multiple-input single-output (Multi-User Multiple-Input Single-Output, referred to as MU-MISO) precoding technical field, in particular to a downlink MU-MISO-based nonlinear precoding method, device and system. Background technique [0002] For a downlink MU-MISO system, the base station configures N T The root transmit antenna, the kth client is configured with N Rk = 1 receiving antenna, there are K users in the system, and the total number of receiving antennas in the system is use {N R1 ,N R2 ,...,N RK}×N T Describe the antenna configuration of the system. Considering the flat fading channel, the downlink channel vector of user k can be expressed as The system concatenation channel composed of all users can be expressed as [0003] H = H 1 ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L1/00H04L1/06
Inventor 周智勋梁尧周维鸥徐迪宇米涛胥小武
Owner RESEARCH INSTITUTE OF TSINGHUA UNIVERSITY IN SHENZHEN
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