Title: Artificial bee colony algorithm for energy efficiency optimisation in massive MIMO system

Authors: Fatima Zohra Bouchibane; Messaoud Bensebti

Addresses: DIC Laboratory, Department of Electronics, Blida University, Blida, Algeria; Centre de Développement de Technologies Avancées (CDTA), Baba Hassen, Algiers, Algeria ' DIC Laboratory, Department of Electronics, Blida University, Blida, Algeria

Abstract: This paper deals with antenna selection for multi-user massive MIMO systems with the aim of maximising energy efficiency. Massive MIMO technology, by employing a large number of antennas at base station, provides huge improvements in throughput and energy efficiency. The increased number of antennas leads to additional energy consumption due to RF chains and signal processing circuit. The main purpose of the paper is to determine the optimal subset of antennas at the base station that should be activated to serve a given number of active user equipment. This idea is implemented using artificial bee colony algorithm which has proven it efficiency by specifying the best control parameters.

Keywords: 5G; massive MIMO; energy efficiency; antenna selection; artificial bee colony.

DOI: 10.1504/IJWMC.2018.095664

International Journal of Wireless and Mobile Computing, 2018 Vol.15 No.2, pp.97 - 104

Received: 28 Oct 2017
Accepted: 10 Jan 2018
Published online: 16 Oct 2018 *

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