TY - JOUR
T1 - Low-Complexity Robust Beamforming Design for IRS-Aided MISO Systems with Imperfect Channels
AU - Omid, Yasaman
AU - Shahabi, Seyyed MohammadMahdi
AU - Pan, Cunhua
AU - Deng, Yansha
AU - Nallanathan, Arumugam
N1 - Publisher Copyright:
© 1997-2012 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/5
Y1 - 2021/5
N2 - 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.
AB - 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.
KW - Intelligent reflecting surface
KW - penalty dual decomposition
KW - reconfigurable intelligent surface
KW - robust design
UR - http://www.scopus.com/inward/record.url?scp=85099176209&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2021.3049685
DO - 10.1109/LCOMM.2021.3049685
M3 - Article
AN - SCOPUS:85099176209
SN - 1089-7798
VL - 25
SP - 1697
EP - 1701
JO - IEEE COMMUNICATIONS LETTERS
JF - IEEE COMMUNICATIONS LETTERS
IS - 5
M1 - 9316283
ER -