Massive MIMO signal detection based on approximate message passing algorithm

Chuang QIN; Ziwei ZHENG; Daping LOU; Xianzu FU

doi:10.11959/j.issn.1000-0801.2016218

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Massive MIMO signal detection based on approximate message passing algorithm

Research and Development | 更新时间：2024-06-05

- Massive MIMO signal detection based on approximate message passing algorithm
- Telecommunications Science Vol. 32, Issue 9, Pages: 16-21(2016)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2016218
  CLC： TN929.5
- Published Online：2016-09，
  
  Published：15 September 2016
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Chuang QIN, Ziwei ZHENG, Daping LOU, et al. Massive MIMO signal detection based on approximate message passing algorithm[J]. Telecommunications science, 2016, 32(9): 16-21.
DOI：

Chuang QIN, Ziwei ZHENG, Daping LOU, et al. Massive MIMO signal detection based on approximate message passing algorithm[J]. Telecommunications science, 2016, 32(9): 16-21. DOI： 10.11959/j.issn.1000-0801.2016218.

摘要

大规模多输入多输出(MIMO)技术通过增加天线的数目可以有效降低发送功率，提高能量效率，被认为是5G移动通信的一项关键技术。随着天线数目的大幅增加，信号检测的复杂度随之增加。分析了大规模MIMO 信号检测的研究现状，提出了近似信息传递(AMP)算法，并比较了 AMP 算法、Richarson 算法以及Neumann级数迭代近似算法的复杂度。仿真结果表明，该算法使用较少的迭代次数即可达到和MMSE近似的系统差错性能。

Abstract

Massive multiple-input multiple-output(MIMO)brings huge improvements in energy efficiency and reduces emission power by using a large number of antennas

which is known as a key technology in the fifth generation (5G)mobile communication.With the increasing number of antennas

the complexity of signal detection is increasing at the same time.According to the research status of massive MIMO signal detection

approximate message passing algorithm was proposed.The complexity of AMP was compared to some iteration algorithm like Richarson algorithm and Neumann series approximation algorithm.The results indicate that the proposed algorithm can use less iteration to achieve almost the same performance of MMSE algorithm.

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references

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