Configuring Intelligent Reflecting Surface With Performance Guarantees: Optimal Beamforming

This work proposes linear time strategies to optimally configure the phase shifts for the reflective elements of an intelligent reflecting surface (IRS). Specifically, we show that the binary phase beamforming can be optimally solved in linear time to maximize the received signal-to-noise ratio (SNR...

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Bibliographic Details
Published in:	IEEE journal of selected topics in signal processing Vol. 16; no. 5; pp. 967 - 979
Main Authors:	Zhang, Yaowen, Shen, Kaiming, Ren, Shuyi, Li, Xin, Chen, Xin, Luo, Zhi-Quan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Approximation Approximation algorithms approximation ratio Array signal processing Beamforming global optimum Intelligent reflecting surface (IRS) linear time algorithm for discrete beamforming Mathematical analysis Optimization Performance evaluation Quadratures Receivers Reconfigurable intelligent surfaces Signal processing algorithms Signal to noise ratio Transmitters
ISSN:	1932-4553, 1941-0484
Online Access:	Get full text
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