Reconfigurable Intelligent Sensing Surface Aided Wireless Powered Communication Networks: A Sensing-Then-Reflecting Approach

被引:2
|
作者
Luo, Cheng [1 ]
Hu, Jie [1 ]
Xiang, Luping [1 ]
Yang, Kun [2 ,3 ]
机构
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China
[2] Univ Elect Sci & Technol China, Yangtze Delta Reg Inst Quzhou, Quzhou 324000, Peoples R China
[3] Univ Essex, Sch Comp Sci & Elect Engn, Colchester CO4 3SQ, England
关键词
Direction-of-arrival estimation; Sensors; Estimation; Protocols; Channel estimation; Rician channels; Closed-form solutions; Reconfigurable intelligent sensing surface; wireless-powered communication network; direction of angle estimation; performance analysis; BEAMFORMING OPTIMIZATION; CHANNEL ESTIMATION; MODEL; INFORMATION; SENSOR; SWIPT;
D O I
10.1109/TCOMM.2023.3337257
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a reconfigurable intelligent sensing surface (RISS) that combines passive and active elements to achieve simultaneous reflection and direction of arrival (DOA) estimation tasks. By utilizing DOA information from the RISS instead of conventional channel estimation, the pilot overhead is reduced and the RISS becomes independent of the hybrid access point (HAP), enabling efficient operation. Specifically, the RISS autonomously estimates the DOA of uplink signals from single-antenna users and reflects them using the HAP's slowly varying DOA information. During downlink transmission, it updates the HAP's DOA information and designs the reflection phase of energy signals based on the latest user DOA information. The paper includes a comprehensive performance analysis, covering system design, protocol details, receiving performance, and RISS deployment suggestions. We derive a closed-form expression to analyze system performance under DOA errors, and calculate the statistical distribution of user received energy using the moment-matching technique. We provide a recommended transmit power to meet a specified outage probability and energy threshold. Numerical results demonstrate that the proposed system outperforms the conventional counterpart by 2.3 dB and 4.7 dB for Rician factors kappa(h )= kappa(G )= 1 and kappa(h )= kappa(G )= 10 , respectively.
引用
收藏
页码:1835 / 1848
页数:14
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