Energy-efficient joint antenna and user selection in single-cell massive MIMO systems

Mangqing Guo, Mustafa C Gursoy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An energy-efficient joint antenna and user selection algorithm in single-cell massive multiple-input multiple-output (MIMO) communication systems is proposed in this paper. The proposed algorithm involves a two-step iterative procedure. At each time, we first obtain a subset of antennas for the given set of users via bisection search and random selection, and then obtain the optimally energy efficient subset of users with the selected antennas using cross-entropy algorithm. This two-step procedure is shown to improve the energy efficiency (EE) at each iteration. Simulation results show that the EE could be improved by 71.16% with the maximum-ratio combining (MRC) receiver when the total number of users is 60.

Original languageEnglish (US)
Title of host publication2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages838-842
Number of pages5
ISBN (Electronic)9781728112954
DOIs
StatePublished - Feb 20 2019
Event2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Anaheim, United States
Duration: Nov 26 2018Nov 29 2018

Publication series

Name2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings

Conference

Conference2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018
CountryUnited States
CityAnaheim
Period11/26/1811/29/18

Keywords

  • Antenna and user selection
  • Cross entropy
  • Energy efficiency
  • Massive MIMO

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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  • Cite this

    Guo, M., & Gursoy, M. C. (2019). Energy-efficient joint antenna and user selection in single-cell massive MIMO systems. In 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings (pp. 838-842). [8646642] (2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2018.8646642