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Effective user selection algorithm for quantized precoding in massive MIMO

  • Nayan Fang
  • , Xin Su
  • , Jie Zeng
  • , Yujun Kuang
  • University of Electronic Science and Technology of China
  • Tsinghua University

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

Abstract

We consider the downlink of a multi-user massive MIMO wireless system, where the base station equipped with a large number of antennas simultaneously serves multiple users. In this paper, we propose an effective user selection algorithm for quantized precoding in massive MIMO systems. The algorithm aims at minimizing the correlation of precoders among users by relaxing the optimal problem to be convex and solving it using the Primal Newton's Barrier Method. The complexity of our proposed algorithm is relatively low and the performance shown by the numerical results is close to the exhaustive search method. The advantage of the proposed algorithm increasingly shows up as the transmit antennas increase significantly.

Original languageEnglish
Title of host publication2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013 - Proceedings
Pages353-357
Number of pages5
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013 - Guilin, China
Duration: 14 Aug 201316 Aug 2013

Publication series

Name2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013 - Proceedings

Conference

Conference2013 8th International ICST Conference on Communications and Networking in China, CHINACOM 2013
Country/TerritoryChina
CityGuilin
Period14/08/1316/08/13

Keywords

  • massive MIMO
  • quantized precoding
  • user selection

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