Massive MIMO Precoding Based on Channel Condition Number

Qiaoqiao Zhao, Yongjun Wang, Leijing Yang, Qi Zhang, Xiangjun Xin, Feng Tian, Qinghua Tian, Ying Tao, Yufei Shen, Guixing Cao, Bo Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

In order to solve the interference caused by the instability of the channel environment in Massive MIMO to the transmitted signal, this paper proposes a precoding method based on the channel condition number. In this algorithm, the channel condition number is used as the basis for judging the channel quality. Under different channel condition numbers, the transmit power is changed. At the same time, in order to reduce the hardware complexity, the algorithm uses Neumann series to replace the direct inversion of large-scale matrix, and choose the appropriate convergence factor, which can guarantee the convergence speed and reduce the number of iterations.

Original languageEnglish
Title of host publication2019 18th International Conference on Optical Communications and Networks, ICOCN 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728127644
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes
Event18th International Conference on Optical Communications and Networks, ICOCN 2019 - Huangshan, China
Duration: 5 Aug 20198 Aug 2019

Publication series

Name2019 18th International Conference on Optical Communications and Networks, ICOCN 2019

Conference

Conference18th International Conference on Optical Communications and Networks, ICOCN 2019
Country/TerritoryChina
CityHuangshan
Period5/08/198/08/19

Keywords

  • Neumann series
  • channel condition number
  • precoding

Fingerprint

Dive into the research topics of 'Massive MIMO Precoding Based on Channel Condition Number'. Together they form a unique fingerprint.

Cite this