Robust Beamforming for IRS Aided MIMO Full Duplex Systems

January 1, 2023·
Chandan Kumar Sheemar
,
Jorge Querol
,
Sourabh Solanki
,
Sumit Kumar
,
Symeon Chatzinotas
· 1 min read
Abstract
In this paper, a novel robust beamforming for an intelligent reflecting surface (IRS) assisted FD system is presented. Since perfect channel state information (CSI) is often challenging to acquire in practice, we consider the case of imperfect CSI and adopt a statistically robust beamforming approach to maximize the ergodic weighted sum rate (WSR). We also analyze the achievable WSR of an IRS-assisted FD with imperfect CSI, for which the lower and the upper bounds are derived. The ergodic WSR maximization problem is tackled based on the expected Weighted Minimum Mean Squared Error (WMMSE), which is guaranteed to converge to a local optimum. The effectiveness of the proposed design is investigated with extensive simulation results. It is shown that our robust design achieves significant performance gain compared to the naive beamforming approaches and considerably outperforms the robust Half-Duplex (HD) system.
Type
Publication
GLOBECOM 2023-2023 IEEE Global Communications Conference
publication

Abstract & Overview

In this paper, a novel robust beamforming for an intelligent reflecting surface (IRS) assisted FD system is presented. Since perfect channel state information (CSI) is often challenging to acquire in practice, we consider the case of imperfect CSI and adopt a statistically robust beamforming approach to maximize the ergodic weighted sum rate (WSR). We also analyze the achievable WSR of an IRS-assisted FD with imperfect CSI, for which the lower and the upper bounds are derived. The ergodic WSR maximization problem is tackled based on the expected Weighted Minimum Mean Squared Error (WMMSE), which is guaranteed to converge to a local optimum. The effectiveness of the proposed design is investigated with extensive simulation results. It is shown that our robust design achieves significant performance gain compared to the naive beamforming approaches and considerably outperforms the robust Half-Duplex (HD) system.

Publication Metadata

  • Authors: Chandan Kumar Sheemar, Jorge Querol, Sourabh Solanki, Sumit Kumar, Symeon Chatzinotas
  • Venue: GLOBECOM 2023-2023 IEEE Global Communications Conference (2023)
  • Research Areas: AI & Neuromorphic SatCom, Beamforming & MIMO
  • DOI: 10.48550/arxiv.2308.08016
AI & Neuromorphic SatCom Beamforming & MIMO