Dynamic Semi-Passive RIS-Assisted URLLC Communication with Finite Blocklength

Distinct from the conventional paradigms of fully passive and fully active RIS configurations, a novel semi-passive RIS composed of partially active reflecting elements and passive elements which can leverage combined advantages is proposed in this paper, Specifically, we investigate a semi-passive RIS assisted URLLC system from the energy efficient maximization perspective. In addition, efficient alternating optimization, successive convex approximation, and successive refinement algorithms are developed to jointly optimizing the transmit precoding matrices and dynamic RIS beamforming matrix. Numerical analysis shows that the proposed RIS system significantly outperforms traditional RIS and non-RIS systems. Moreover, semi-passive RIS with only few active elements can achieve superior energy efficiency compared to passive RIS even with infinite blocklength. This highlights the potential of semi-passive RIS to reduce latency, enhance reliability, and improve energy efficiency.

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Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/isape62431.2024.10840892
Primary Topic
Molecular Communication and Nanonetworks
Type
article
Field-Weighted Citation Impact
0.00

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Dynamic Semi-Passive RIS-Assisted URLLC Communication with Finite Blocklength

Suiyan Geng, Xiongwen Zhao, Wenhui Zhu, Xiaoqing Wang et al.
Molecular Communication and Nanonetworks
article

Dynamic Semi-Passive RIS-Assisted URLLC Communication with Finite Blocklength

Suiyan Geng, Xiongwen Zhao, Wenhui Zhu, Xiaoqing Wang, Fei Du, Miaozhi Huang
article en

Abstract

Distinct from the conventional paradigms of fully passive and fully active RIS configurations, a novel semi-passive RIS composed of partially active reflecting elements and passive elements which can leverage combined advantages is proposed in this paper, Specifically, we investigate a semi-passive RIS assisted URLLC system from the energy efficient maximization perspective. In addition, efficient alternating optimization, successive convex approximation, and successive refinement algorithms are developed to jointly optimizing the transmit precoding matrices and dynamic RIS beamforming matrix. Numerical analysis shows that the proposed RIS system significantly outperforms traditional RIS and non-RIS systems. Moreover, semi-passive RIS with only few active elements can achieve superior energy efficiency compared to passive RIS even with infinite blocklength. This highlights the potential of semi-passive RIS to reduce latency, enhance reliability, and improve energy efficiency.

North China Electric Power University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 76%
Molecular Communication and Nanonetworks
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