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Max-Min Power Control in Downlink Massive MIMO With Distributed Antenna Arrays
Australian Natl Univ, Australia.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5954-434X
Australian Natl Univ, Australia.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2021 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 69, no 2, p. 740-751Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate optimal downlink power allocation in massive multiple-input multiple-output (MIMO) networks with distributed antenna arrays (DAAs) under correlated and uncorrelated channel fading. In DAA massive MIMO, a base station (BS) consists of multiple antenna sub-arrays. Notably, the antenna sub-arrays are deployed in arbitrary locations within a DAA massive MIMO cell. Consequently, the distance-dependent large-scale propagation coefficients are different from a user to these different antenna sub-arrays, which makes power control a challenging problem. We assume that the network operates in time-division duplex mode, where each BS obtains the channel estimates via uplink pilots. Based on the channel estimates, the BSs perform maximum-ratio transmission in the downlink. We then derive a closed-form signal-to-interference-plus-noise ratio (SINR) expression, where the channels are subject to correlated fading. Based on the SINR expression, we propose a network-wide max-min power control algorithm to ensure that each user in the network receives a uniform quality of service. Numerical results demonstrate the performance advantages offered by DAA massive MIMO. For some specific scenarios, DAA massive MIMO can improve the average per-user throughput up to 55%. Furthermore, we demonstrate that channel fading covariance is an important factor in determining the performance of DAA massive MIMO.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2021. Vol. 69, no 2, p. 740-751
Keywords [en]
Massive MIMO; Antenna arrays; Power control; Channel estimation; Downlink; Fading channels; Distributed wireless networks; max-min power control; optimization; massive MIMO
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-174668DOI: 10.1109/TCOMM.2020.3033018ISI: 000619368600005OAI: oai:DiVA.org:liu-174668DiVA, id: diva2:1541509
Note

Funding Agencies|Australian Government Research Training Program (RTP) ScholarshipAustralian GovernmentDepartment of Industry, Innovation and Science; Swedish Research Council (VR)Swedish Research Council; ELLIIT; Australian Research Councils Discovery ProjectAustralian Research Council [DP180104062]

Available from: 2021-04-01 Created: 2021-04-01 Last updated: 2021-04-01

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Björnson, EmilLarsson, Erik G
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