Massive MIMO with per-antenna power constraint

Shuowen Zhang, Rui Zhang, Teng Joon Lim

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

15 Citations (Scopus)

Abstract

In this paper, we study the sum-rate maximization problem in a single-cell massive MIMO downlink system with K users. Unlike the conventional sum-power constraint (SPC) that limits the total average power over all the transmit antennas, the more practical per-antenna power constraint (PAPC) is considered. A precoding scheme based on the principle of equal gain transmission (EGT) is proposed to satisfy any given PAPC with low complexity. We show that as the number of transmit antennas goes to infinity, the gap between the sum-rate achieved by our proposed scheme under PAPC and that under a single SPC achieved with optimal maximum ratio transmission (MRT) approaches k log2(4/π) in bits/sec/Hz under the condition of independent Rayleigh fading of the user channels. The analytical results are also verified by numerical examples. Therefore, in massive MIMO systems, our proposed EGT-based precoding scheme is near-optimal under PAPC with asymptotically negligible capacity loss compared against the sum-rate upper bound by the MRT-based precoding under the relaxed SPC, which justifies the use of PAPC in practical massive MIMO systems.

Original languageEnglish
Title of host publication2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages642-646
Number of pages5
ISBN (Electronic)9781479970889
DOIs
Publication statusPublished - 5 Feb 2014
Externally publishedYes
Event2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 - Atlanta, United States
Duration: 3 Dec 20145 Dec 2014

Publication series

Name2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014

Conference

Conference2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
Country/TerritoryUnited States
CityAtlanta
Period3/12/145/12/14

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems

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