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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Vydané v:	IEEE journal of selected topics in signal processing Ročník 16; číslo 5; s. 967 - 979
Hlavní autori:	Zhang, Yaowen, Shen, Kaiming, Ren, Shuyi, Li, Xin, Chen, Xin, Luo, Zhi-Quan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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