Robust Beamforming for IRS Aided MIMO Full Duplex Systems

[en] 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.

Disciplines :

Electrical & electronics engineering

Author, co-author :

SHEEMAR, Chandan Kumar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

QUEROL, Jorge ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

SOLANKI, Sourabh ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

KUMAR, Sumit ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

External co-authors :

Language :

English

Title :

Robust Beamforming for IRS Aided MIMO Full Duplex Systems

Publication date :

December 2023

Event name :

IEEE Global Communications Conference

Event place :

Kuala Lumpur, Malaysia

Event date :

from 4 to 8 December

Audience :

International

Journal title :

GLOBECOM

Peer reviewed :

Peer reviewed

Available on ORBilu :

since 29 November 2023

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Bibliography

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