Method for selecting relaxation factor of massive MIMO detector

A relaxation factor and detector technology, applied in the field of communication, can solve problems such as the difficulty of optimal relaxation factor, and achieve the effect of significant performance gain

Inactive Publication Date: 2018-11-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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However, the determination of the...

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  • Method for selecting relaxation factor of massive MIMO detector
  • Method for selecting relaxation factor of massive MIMO detector
  • Method for selecting relaxation factor of massive MIMO detector

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Embodiment Construction

[0032] Below in conjunction with accompanying drawing and embodiment, describe technical solution of the present invention in detail:

[0033] Consider a massive MIMO uplink system, the base station has N B antennas, simultaneously serving N U single-antenna users. Send the signal after 64QAM modulation The average power of each transmitted symbol is E s , Represents a flat Rayleigh fading channel, therefore, the received signal is

[0034] y=Hx+n, (1)

[0035] where n is the variance σ 2 The additive Gaussian white noise, the signal-to-noise ratio SNR is expressed as N U E. s / σ 2 . The task of signal detection is to recover the sent signal x from the received signal. Assuming that the channel estimation is perfect, a typical MMSE detection algorithm is expressed as

[0036]

[0037] where b=H H y represents the matched filter output of y, is the MMSE filter matrix. The filter matrix A is Hermite positive definite in a massive MIMO system, and when N B >...

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Abstract

The invention belongs to the technical field of communication and relates to a method for selecting a relaxation factor of a massive MIMO detector. The method is extended to obtain a relaxation factoronly related to the number of transmitting and receiving antennae according to approximation of characteristic values of a filter matrix on the basis of an existing optimal factor under a certain condition. The relaxation factor is easy to calculate. A simulation result shows that, compared with performance achieved by a successive over-relaxation (SOR) method and symmetric successive over-relaxation (SSOR) method based on an existing relaxation factor, performance achieved by the SOR and SSOR methods based on the relaxation factor obtained by the method is greatly improved. Performance gainsof the SOR and SSOR methods based on the relaxation factor are more remarkable when an NB/NU ratio is relatively small, and are still obvious in case of high NB/NU ratio. Particularly in case of lowNB/NU ratio, the SOR and SSOR methods based on the existing relaxation factor cannot be converged, but performance of an MMSE algorithm is achieved by the methods based on the relaxation factor afterfour iterations.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a method for selecting a relaxation factor of a massive MIMO detector. Background technique [0002] As a key technology in 5G communication, Massive MIMO technology has broad development prospects. But high-dimensional signal detection in this system is a tricky problem. In large-scale antenna configurations, linear detection—zero-forcing (ZF) detection and minimum mean square error (MMSE) detection can achieve optimal performance. However, when the number of antennas is large, the linear detection algorithm involves a matrix inversion problem that is unacceptable in practice. Hence the emergence of many studies that avoid direct matrix inversion. Specifically, approximate methods include Newman expansion methods, and iterative methods include Richardson, Jacobi, Gauss-Seidel, and the like. The super-relaxation (SOR) iterative method introduces the relaxati...

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Application Information

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IPC IPC(8): H04B17/336H04B7/06H04B7/08H04L25/02H04L25/03
CPCH04B7/0632H04B7/0854H04L25/025H04L2025/03624H04L2025/03636H04B17/336
Inventor 金芳利刘皓崔福祥
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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