On the Performance of RIS-Aided CF-IoE-SWIPT Network Over Correlated Rician Fading Channels

被引：0

作者：

Yang, Kaixi ^{[1
]}

Zhang, Yao ^{[1
]}

Chen, Lina ^{[2
]}

Tang, Changbing ^{[1
]}

Fang, Hao ^{[3
]}

Yang, Longxiang ^{[3
]}

机构：

[1] Zhejiang Normal University, College of Physics and Electronic Information Engineering, Jinhua,321004, China

[2] Zhejiang Normal University, School of Computer Science and Technology, the School of Artificial Intelligence, Department of Computer Science and Technology, Jinhua,321004, China

[3] Nanjing University of Posts and Telecommunications, Department of Wireless Communication Key Lab of Jiangsu Province, Nanjing,210003, China

来源：

IEEE Wireless Communications Letters | 2024年 / 13卷 / 10期

基金：

中国国家自然科学基金;

关键词：

Channel state information - Energy transfer - Fading channels - Gold - Internet of Everything - Particle swarm optimization (PSO);

D O I：

10.1109/LWC.2024.3440222

中图分类号：

学科分类号：

摘要：

This letter investigates the downlink simultaneous wireless information and power transfer in a reconfigurable intelligent surface (RIS)-aided Internet-of-Everything network relying on cell-free architecture. In our network, the access points beam the energy and information signals toward users by means of time-switching protocol. Based on the correlated Rician fading channels, we derive tight closed-form expressions for the downlink achievable harvested energy and rate under imperfect channel state information. Moreover, we propose a particle swarm optimization-based algorithm in terms of RIS phase shift to maximize the achievable harvested energy and rate. All theoretical analysis and the effectiveness of the proposed algorithm are verified via extensive simulations. © 2024 IEEE.

引用

页码：2692 / 2696

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