Performance of IRS-Aided FD Two-Way Communication Network With Imperfect SIC

Deepak Kumar, Praveen Kumar Singya, Ondrej Krejcar, Kwonhue Choi, Vimal Bhatia

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Intelligent reflecting surface (IRS) is a promising technology to deploy reconfigurable and cost-effective next-generation wireless communication systems. In this work, we investigate the performance of an IRS-aided two-way communication network over Rayleigh fading channels, where downlink and uplink transmission between the base station and the user equipment is established in full-duplex mode. We take into account the impact of residual self-interference (RSI), which results from imperfect self-interference cancellation. We derive the analytical expressions of outage probability (OP), asymptotic OP, and obtain diversity order of the system. We also derive ergodic capacity in terms of the Meijer-G function. Further, we derive the analytical expressions of average symbol error rate (ASER) for general order rectangular quadrature amplitude modulation (QAM), cross QAM, and hexagonal QAM. We highlight the impact of reflecting elements, RSI, and other system parameters on the performance of the considered network and also compare the ASER of various QAM constellations. Finally, Monte-Carlo simulations validate the derived analytical expressions.
Original languageEnglish (US)
Pages (from-to)1-6
Number of pages6
JournalIEEE Transactions on Vehicular Technology
DOIs
StatePublished - Jan 9 2023

Bibliographical note

KAUST Repository Item: Exported on 2023-01-13
Acknowledgements: This work was supported in part by the COMET TiH IIITB Smart Radio Environment project, and in part by Grant Agency of Excellence, No. 2204/2022, University of Hradec Kralove, Faculty of Informatics and Management, Czech Republic. This work was also supported by the NRF grant funded by the Korean government (MSIT) under Grant 2021R1A2C1010370.

ASJC Scopus subject areas

  • Automotive Engineering
  • Applied Mathematics
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Aerospace Engineering

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