Performance Analysis of Active Reconfigurable Intelligent Surface-Aided URLLC Systems

被引：0

作者：

Fang, Manlin ^{[1
,2
]}

Li, Jianqing ^{[1
]}

Liu, Yuanwei ^{[3
]}

Chen, Zhen ^{[3
]}

Zhang, Xiu Yin ^{[2
]}

机构：

[1] Huizhou Univ, Sch Comp Sci & Engn, Huizhou 516006, Peoples R China

[2] South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 516007, Peoples R China

[3] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2024年 / 73卷 / 11期

基金：

中国国家自然科学基金;

关键词：

Ultra reliable low latency communication; Signal to noise ratio; Rician channels; Error probability; Decoding; Reliability; Vectors; Active reconfigurable intelligent surface (RIS); ultra-reliable low-latency communication (URLLC); achievable rate; decoding error probability; MASSIVE MIMO SYSTEMS; COMMUNICATION; NETWORKS;

D O I：

10.1109/TVT.2024.3425477

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：

In this paper, we investigate an active reconfigurable intelligent surfaces (RIS)-aided ultra-reliable low-latency communication (URLLC) system, where the active RIS can amplify the incident signals rather than only reflecting them has done in passive modules. By utilizing the Jensen's inequality and the moment-matching method, two closed-form expressions for the average achievable rate and the average decoding error probability are derived with the optimal shift-phase and the optimal amplification factor. Moreover, the derived expressions are utilized to provide some insights, including the power scaling law, the high signal-to-noise ratio (SNR) slope and the diversity order. Simulation results show that the performance of the small-scale active RIS significantly outperforms the large-scale passive RIS in the URLLC system.

引用

页码：17842 / 17847

页数：6