Capacity-Fairness Tradeoff for Optimal Power Allocation in Cluster-wise MU-MIMO System

Sijie Xia, Chang Ge, Qiang Chen, Fumiyuki Adachi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The cluster-wise multi-user multi-input multi-output (MU-MIMO), division of the ultra-dense network in the beyond fifth-generation (B5G) system into several small-scale MU-MIMO, is an effective way to reduce the computational complexity of the system operations. Reasonable power allocation is excepted for the improvement of system performance by adjusting the inter-cluster-interference. In this paper, we consider an optimal power allocation (OPA) method to realize the flexible tradeoff between sum capacity maximization and user fairness maximization while guaranteeing the minimum user capacity under the total transmit power constraint to meet the needs of different application scenarios. The simulation results verify that the proposed OPA method can effectively adjust the tradeoff between sum capacity and user fairness.

Original languageEnglish
Title of host publicationAPWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages16-20
Number of pages5
ISBN (Electronic)9781665471213
DOIs
Publication statusPublished - 2022
Event2022 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2022 - Seoul, Korea, Republic of
Duration: 2022 Aug 242022 Aug 25

Publication series

NameAPWCS 2022 - 2022 IEEE VTS Asia Pacific Wireless Communications Symposium

Conference

Conference2022 IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2022
Country/TerritoryKorea, Republic of
CitySeoul
Period22/8/2422/8/25

Keywords

  • Beyond 5G
  • Distributed antenna system
  • MU-MIMO
  • Power allocation
  • User-clustering

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