King's College London

Research portal

Low-Complexity Robust Beamforming Design for IRS-Aided MISO Systems with Imperfect Channels

Research output: Contribution to journalArticlepeer-review

Yasaman Omid, Seyyed Mohammadmahdi Shahabi, Cunhua Pan, Yansha Deng, Arumugam Nallanathan

Original languageEnglish
Article number9316283
Pages (from-to)1697-1701
Number of pages5
JournalIEEE COMMUNICATIONS LETTERS
Volume25
Issue number5
DOIs
PublishedMay 2021

Bibliographical note

Publisher Copyright: © 1997-2012 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

King's Authors

Abstract

In this letter, large-scale intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) system is considered in the presence of channel uncertainty. To maximize the average sum rate of the system by jointly optimizing the active beamforming at the BS and the passive phase shifts at the IRS, while satisfying the power constraints, a novel robust beamforming design is proposed by using the penalty dual decomposition (PDD) algorithm. By applying the upper bound maximization/minimization (BSUM) method, in each iteration of the algorithm, the optimal solution for each variable can be obtained with closed-form expression. Simulation results show that the proposed scheme achieves high performance with very low computational complexity.

View graph of relations

© 2020 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454