Joint Transceiver Optimization of MIMO SWIPT Systems Assisted by Reconfigurable Intelligent Surface

In this work, a reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) system is studied with wireless energy harvesting (EH). Specifically, we focus on maximizing the harvested power at the receiver by joint optimization of the signal covariance, the phase shifter,...

Full description

Saved in:
Bibliographic Details
Published inMathematical problems in engineering Vol. 2021; pp. 1 - 5
Main Authors Zhu, Jinxin, Shao, Jun
Format Journal Article
LanguageEnglish
Published New York Hindawi 25.12.2021
John Wiley & Sons, Inc
Subjects
Algorithms
Energy efficiency
Energy harvesting
Engineering
Internet of Things
Localization
MIMO communication
Optimization
Phase shifters
Reconfigurable intelligent surfaces
Sensors
Wireless networks
Online AccessGet full text

Cover

More Information
Summary:In this work, a reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) system is studied with wireless energy harvesting (EH). Specifically, we focus on maximizing the harvested power at the receiver by joint optimization of the signal covariance, the phase shifter, and the power splitting factor, subject to the information rate and transmit power constraints. The formulated problem is hard to address due to the nonconcave objective and the nonconvex constraints. To tackle these challenges, an alternating optimization (AO) framework is proposed, where the phase shifter is solved by the penalty-based method. Simulation results validate the performance of the proposed approach.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1024-123X
1563-5147
DOI:10.1155/2021/4768159