Performance Analysis of Self-Interference Cancellation in Full-Duplex Massive MIMO Systems: Subtraction Versus Spatial Suppression

Soo Min Kim, Yeon Geun Lim, Linglong Dai, Chan Byoung Chae

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Massive multiple-input multiple-output (MIMO) and full-duplex (FD) are promising candidates for achieving the spectral efficiency to meet the needs of 5G communications. One essential key to realizing practical FD massive MIMO systems is how to effectively mitigate the self-interference (SI). Conventionally, however, the performance comparison of different SI methods by reflecting the actual channel characteristics was insufficient in the literature. Accordingly, this paper presents a performance analysis of SI cancellation (SIC) methods in FD massive MIMO systems. Analytical and numerical results confirm that, in an imperfect channel-estimation case, the ergodic rates performance of the spatial suppression in the uplink outperforms those of the SI subtraction, due to the correlation between the precoder and the estimation error of the SI channel. In addition, we discuss which method performs better under different given system constraints such as uplink and downlink sum rates, the total transmit power, and the power scaling law.

Original languageEnglish
Pages (from-to)642-657
Number of pages16
JournalIEEE Transactions on Wireless Communications
Volume22
Issue number1
DOIs
Publication statusPublished - 2023 Jan 1

Bibliographical note

Publisher Copyright:
© 2002-2012 IEEE.

All Science Journal Classification (ASJC) codes

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

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