@inproceedings{8ca7ffae3f284485ada0d0b4054573a6,
title = "Energy-efficient joint antenna and user selection in single-cell massive MIMO systems",
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.",
keywords = "Antenna and user selection, Cross entropy, Energy efficiency, Massive MIMO",
author = "Mangqing Guo and Gursoy, {Mustafa C}",
year = "2019",
month = feb,
day = "20",
doi = "10.1109/GlobalSIP.2018.8646642",
language = "English (US)",
series = "2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "838--842",
booktitle = "2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings",
note = "2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 ; Conference date: 26-11-2018 Through 29-11-2018",
}