Luo, Cheng and Hu, Jie and Xiang, Luping and Yang, Kun (2023) Reconfigurable Intelligent Sensing Surface aided Wireless Powered Communication Networks: A Sensing-Then-Reflecting Approach. IEEE Transactions on Communications, 72 (3). pp. 1835-1848. DOI https://doi.org/10.1109/tcomm.2023.3337257
Luo, Cheng and Hu, Jie and Xiang, Luping and Yang, Kun (2023) Reconfigurable Intelligent Sensing Surface aided Wireless Powered Communication Networks: A Sensing-Then-Reflecting Approach. IEEE Transactions on Communications, 72 (3). pp. 1835-1848. DOI https://doi.org/10.1109/tcomm.2023.3337257
Luo, Cheng and Hu, Jie and Xiang, Luping and Yang, Kun (2023) Reconfigurable Intelligent Sensing Surface aided Wireless Powered Communication Networks: A Sensing-Then-Reflecting Approach. IEEE Transactions on Communications, 72 (3). pp. 1835-1848. DOI https://doi.org/10.1109/tcomm.2023.3337257
Abstract
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 κ h = κ G = 1 and κ h = κ G = 10, respectively.
Item Type: | Article |
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Uncontrolled Keywords: | Reconfigurable intelligent sensing surface; wireless-powered communication network; direction of angle estimation; performance analysis |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Jan 2024 16:48 |
Last Modified: | 30 Oct 2024 17:31 |
URI: | http://repository.essex.ac.uk/id/eprint/37529 |
Available files
Filename: Reconfigurable_Intelligent_Sensing_Surface_aided_Wireless_Powered_Communication_Networks_A_Sensing-Then-Reflecting_Approach.pdf