NDLI: An energy-efficient joint antenna and user selection algorithm for multi-user massive MIMO downlink

Content Provider	IET Digital Library
Author	Olyaee, Maryam Eslami, Mohsen Haghighat, Javad
Abstract	Massive multiple-input multiple-output (MIMO) technology employs hundreds of antennas at the base station (BS) of a cellular system. Activating hundreds of antennas requires hundreds of radio-frequency (RF) chains that lead to high cost and high energy consumption. Antenna selection techniques reduce the number of RF chains while curtailing the resulting performance loss. In this study, the authors consider massive-MIMO downlink with zero-forcing (ZF) precoding in a single cell. In ZF precoding with antenna selection, the number of users must always be less than or equal to the number of selected antennas, which may require adopting user selection (scheduling) algorithms. They propose a joint user and antenna selection algorithm to increase BS's energy efficiency (EE) and show that its performance is very close to that of the optimum exhaustive-search based scheme. Using an analytical approximation for EE of the proposed scheme in asymptotically large numbers of users region, they find the optimum number of antennas to be selected.
Starting Page	255
Ending Page	260
Page Count	6
ISSN	17518628
Volume Number	12
e-ISSN	17518636
Issue Number	Issue 3, Feb (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/12/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0905
Journal	IET Communications
Publisher Date	2017-11-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Analytical Approximation Antenna Array Base Station BS Energy Efficiency Cellular Radio Cellular System Code Energy Conservation Energy Consumption Energy-efficient Joint Antenna Massive Multiple-input Multiple-output Technology MIMO Communication Mobile Radio System Multiuser Massive MIMO Downlink Optimum Exhaustive-search Based Scheme Performance Loss Precoding Radio-frequency Chain RF Chain Scheduling Algorithm Telecommunication Power Management Telecommunication Scheduling User Selection Algorithm Zero-forcing Precoding ZF Precoding
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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