TY - CHAP
T1 - Hybrid Beamforming for Distributed Intelligent Reflecting Surfaces-Aided Systems
AU - Shahabi, Seyyed Mohammad Mahdi
AU - Yang, Zhaohui
AU - Asgari, Hamid
AU - Charbit, Gilles
AU - Shikh-Bahaei, Mohammad
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, a distributed multiple-intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) system is studied. Since IRS is operated in a passive manner, only imperfect channel information is considered in our model. Our aim is to maximize the achievable sum rate of the system by adopting a hybrid construction where we jointly optimize the active transmit beamforming at the base station (BS) and the passive beamforming at the IRS. To solve this problem, utilizing successive convex approximation (SCA), an iterative algorithm is proposed via alternatively optimizing transmit beamforming and passive beamforming. Simulation results show the proposed iterative algorithm outperforms the conventional semi-definite programming (SDP)-based algorithm. Moreover, the proposed algorithm is able to significantly compensate for the channel estimation error.
AB - In this paper, a distributed multiple-intelligent reflecting surface (IRS)-assisted multiple-input single-output (MISO) system is studied. Since IRS is operated in a passive manner, only imperfect channel information is considered in our model. Our aim is to maximize the achievable sum rate of the system by adopting a hybrid construction where we jointly optimize the active transmit beamforming at the base station (BS) and the passive beamforming at the IRS. To solve this problem, utilizing successive convex approximation (SCA), an iterative algorithm is proposed via alternatively optimizing transmit beamforming and passive beamforming. Simulation results show the proposed iterative algorithm outperforms the conventional semi-definite programming (SDP)-based algorithm. Moreover, the proposed algorithm is able to significantly compensate for the channel estimation error.
KW - Beamforming
KW - Channel Uncertainty
KW - Intelligent Reflecting Surface
KW - Reconfigurable Intelligent Surfaces
UR - http://www.scopus.com/inward/record.url?scp=85126100615&partnerID=8YFLogxK
U2 - 10.1109/GCWkshps52748.2021.9682009
DO - 10.1109/GCWkshps52748.2021.9682009
M3 - Conference paper
AN - SCOPUS:85126100615
T3 - 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings
BT - 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Globecom Workshops, GC Wkshps 2021
Y2 - 7 December 2021 through 11 December 2021
ER -