Optimal Beamforming for MISO Communications via Intelligent Reflecting Surfaces

Yu X, Xu D, Schober R (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2020-May

Conference Proceedings Title: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

Event location: Atlanta, GA US

ISBN: 9781728154787

DOI: 10.1109/SPAWC48557.2020.9154337

Abstract

Wireless communications via intelligent reflecting surfaces (IRSs) has received considerable attention from both academia and industry. In particular, IRSs are able to create favorable wireless propagation environments with typically low-cost passive devices. While various IRS-Aided wireless communication systems have been investigated in the literature, thus far, the optimal design of such systems is not well understood. In this paper, IRS-Assisted single-user multiple-input single-output (MISO) communication is investigated. To maximize the spectral efficiency, a branch-And-bound (BnB) algorithm is proposed to obtain globally optimal solutions for both the active and passive beamformers at the access point (AP) and the IRS, respectively. Simulation results confirm the effectiveness of deploying IRSs in wireless systems. Furthermore, by taking the proposed optimal BnB algorithm as the performance benchmark, the optimality of existing design algorithms is investigated.

Authors with CRIS profile

Xianghao Yu Professur für Informationsübertragung Dongfang Xu Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung

How to cite

APA:

Yu, X., Xu, D., & Schober, R. (2020). Optimal Beamforming for MISO Communications via Intelligent Reflecting Surfaces. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC. Atlanta, GA, US: Institute of Electrical and Electronics Engineers Inc..

MLA:

Yu, Xianghao, Dongfang Xu, and Robert Schober. "Optimal Beamforming for MISO Communications via Intelligent Reflecting Surfaces." Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020, Atlanta, GA Institute of Electrical and Electronics Engineers Inc., 2020.

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