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Energy Efficiency Optimization for Cell-Free Massive MIMO
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT3 9DT, Antrim, North Ireland.
Maynooth Univ, Dept Elect Engn, Maynooth, Kildare, Ireland.
Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT3 9DT, Antrim, North Ireland.
Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT3 9DT, Antrim, North Ireland.
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2017 (English)In: 2017 IEEE 18TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), 2017Conference paper, Published paper (Refereed)
Abstract [en]

This paper considers a time-division duplex cell-free massive multiple-input multiple-output downlink with imperfect channel station information and conjugate beamforming scheme. The total energy efficiency is investigated taking into account the hardware power consumption and the backhaul power consumption. We propose an optimal power allocation algorithm which aims to maximize the total energy efficiency, under a per-access point power constraint and a per-user spectral efficiency constraint. This optimization problem can be approximately solved via a sequence of second-order cone programs. Compared with the case of without power control, our proposed power allocation scheme can double the total energy efficiency. Furthermore, we show that, when the number of access points is large, the backhaul power consumption affects significantly the total energy efficiency.

Place, publisher, year, edition, pages
2017.
Series
IEEE International Workshop on Signal Processing Advances in Wireless Communications, ISSN 2325-3789
Keywords [en]
Cell-free massive MIMO, conjugate beamforming, energy efficiency, massive MIMO, network MIMO
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-147281DOI: 10.1109/SPAWC.2017.8227722ISI: 000427595900086ISBN: 978-1-5090-3009-5 (electronic)ISBN: 978-1-5090-3010-1 (print)OAI: oai:DiVA.org:liu-147281DiVA, id: diva2:1197400
Conference
18th IEEE International Workshop on Signal Processing Advances for Wireless Communications (SPAWC), Sapporo, Japan, 3-76 July 2017
Available from: 2018-04-12 Created: 2018-04-12 Last updated: 2018-04-12

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Ngo, Hien QuocLarsson, Erik G.

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CiteExportLink to record
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  • apa
  • harvard1
  • ieee
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  • Other style
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  • de-DE
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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