A Low Complexity User Selection Algorithm for Full-Duplex MU-MISO Systems

Minki Ahn, Han Bae Kong, Hun Min Shin, Inkyu Lee

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

In this paper, we propose a new user selection algorithm for full-duplex (FD) multiuser multiple-input single-output (MU-MISO) systems, where an FD base station (BS) communicates with multiple half-duplex users in both downlink and uplink channels simultaneously. Due to self-interference at the BS and co-channel interference among users, a joint downlink and uplink user selection to maximize system performance incurs high search complexity. To reduce the complexity, we introduce a two-step user selection algorithm, which successively chooses downlink users followed by uplink users based on the decomposed sum rate of the FD systems. In addition, we analyze the average sum rate performance of our proposed user selection algorithm for FD MU-MISO systems and derive a tight approximation of the performance. From the numerical results, we confirm that our analysis matches well with simulation results, and the proposed user selection algorithm for the FD MU-MISO systems exhibits a small performance loss compared with the optimal user selection algorithm with much reduced complexity.

Original languageEnglish
Article number7568990
Pages (from-to)7899-7907
Number of pages9
JournalIEEE Transactions on Wireless Communications
Volume15
Issue number11
DOIs
Publication statusPublished - 2016 Nov 1

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Keywords

  • co-channel interference
  • full-duplex
  • MU-MISO
  • self-interference
  • user selection

ASJC Scopus subject areas

  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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