Adaptive antenna selection and power allocation in downlink massive MIMO systems

Salh, Adeeb and Audah, Lukman and M. Shah, Nor Shahida and A. Hamzah, Shipun (2017) Adaptive antenna selection and power allocation in downlink massive MIMO systems. International Journal of Electrical and Computer Engineering (IJECE). pp. 31-39. ISSN 2088-8708

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Abstract

Massive multi-input, multi-output (MIMO) systems are an exciting area of study and an important technique for fifth-generation (5G) wireless networks that support high data rate traffic. An increased number of antenna arrays at the base station (BS) consumes more power due to a higher number of radio frequency (RF) chains, which cannot be neglected and becomes a technical challenge. In this paper, we investigated how to obtain the maximal data rate by deriving the optimal number of RF chains from a large number of available antenna arrays at the BS when there is equal power allocation among users. Meanwhile, to mitigate inter-user-interference and to compute transmit power allocation, we used the precoding scheme zero forcing beamforming (ZFBF). The achievable data rate is increased because the algorithm of ZFBF enables the choosing of the maximum power in relation to the optimal antenna selection. We conclude that the transmit power allocation allows the use of less number of RF chains which provides the maximum achievable data rate depending on the optimal RF chain at the BS.

Item Type:	Article
Uncontrolled Keywords:	Radio frequency; Fifth-generation (5G); Base station; Zero forcing beamforming
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Electrical and Electronic Engineering > Department of Electronic Enngineering
Depositing User:	Mrs. Siti Noraida Miskan
Date Deposited:	06 Jan 2022 04:02
Last Modified:	06 Jan 2022 04:02
URI:	http://eprints.uthm.edu.my/id/eprint/5179

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