Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer

By reconfiguring the propagation environment of electromagnetic waves artificially, reconfigurable intelligent surfaces (RISs) have been regarded as a promising and revolutionary hardware technology to improve the energy and spectrum efficiency of wireless networks. In this paper, we study a RIS aid...

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Published inIEEE transactions on signal processing Vol. 69; pp. 1347 - 1361
Main Authors Yang, Huiyuan, Yuan, Xiaojun, Fang, Jun, Liang, Ying-Chang
Format Journal Article
LanguageEnglish
Published New York IEEE 2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Array signal processing
Beamforming
constant-envelope beamforming
Electromagnetic radiation
Iterative algorithms
Iterative methods
Optimization
Radio transmitters
Receiving antennas
Reconfigurable intelligent surface
Reconfigurable intelligent surfaces
Transmitting antennas
Wave propagation
Wireless communication
Wireless networks
Wireless power transfer
Wireless power transmission
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Abstract By reconfiguring the propagation environment of electromagnetic waves artificially, reconfigurable intelligent surfaces (RISs) have been regarded as a promising and revolutionary hardware technology to improve the energy and spectrum efficiency of wireless networks. In this paper, we study a RIS aided multiuser multiple-input multiple-output (MIMO) wireless power transfer (WPT) system, where the transmitter is equipped with a constant-envelope analog beamformer. First, we maximize the total received power of the users by jointly optimizing the beamformer at transmitter and the phase-shifts at the RIS, and propose two alternating optimization based suboptimal solutions by leveraging the semidefinite relaxation (SDR) and the successive convex approximation (SCA) techniques respectively. Then, considering the user fairness, we formulate another problem to maximize the total received power subject to the users' individual minimum received power constraints. A low complexity iterative algorithm based on both alternating direction method of multipliers (ADMM) and SCA techniques is proposed to solve this problem. In the case of multiple users, we further analyze the asymptotic performance as the number of RIS elements approaches infinity, and bound the performance loss caused by RIS phase quantization. Numerical results show the correctness of the analysis results and the effectiveness of the proposed algorithms.
AbstractList By reconfiguring the propagation environment of electromagnetic waves artificially, reconfigurable intelligent surfaces (RISs) have been regarded as a promising and revolutionary hardware technology to improve the energy and spectrum efficiency of wireless networks. In this paper, we study a RIS aided multiuser multiple-input multiple-output (MIMO) wireless power transfer (WPT) system, where the transmitter is equipped with a constant-envelope analog beamformer. First, we maximize the total received power of the users by jointly optimizing the beamformer at transmitter and the phase-shifts at the RIS, and propose two alternating optimization based suboptimal solutions by leveraging the semidefinite relaxation (SDR) and the successive convex approximation (SCA) techniques respectively. Then, considering the user fairness, we formulate another problem to maximize the total received power subject to the users' individual minimum received power constraints. A low complexity iterative algorithm based on both alternating direction method of multipliers (ADMM) and SCA techniques is proposed to solve this problem. In the case of multiple users, we further analyze the asymptotic performance as the number of RIS elements approaches infinity, and bound the performance loss caused by RIS phase quantization. Numerical results show the correctness of the analysis results and the effectiveness of the proposed algorithms.
Author Liang, Ying-Chang
Yuan, Xiaojun
Yang, Huiyuan
Fang, Jun
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SubjectTerms Array signal processing
Beamforming
constant-envelope beamforming
Electromagnetic radiation
Iterative algorithms
Iterative methods
Optimization
Radio transmitters
Receiving antennas
Reconfigurable intelligent surface
Reconfigurable intelligent surfaces
Transmitting antennas
Wave propagation
Wireless communication
Wireless networks
Wireless power transfer
Wireless power transmission
Title Reconfigurable Intelligent Surface Aided Constant-Envelope Wireless Power Transfer
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