Performance Analysis of Active Reconfigurable Intelligent Surface-Aided URLLC Systems

被引：0
|
作者：
Fang M. [1 ]
Li J. [2 ]
Liu Y. [3 ]
Chen Z. [2 ]
Zhang X.Y. [2 ]
机构：
[1] School of Computer Science and Engineering, Huizhou University, Huizhou
[2] School of Electronic and Information Engineering, South China University of Technology, Guangzhou
[3] School of Electronic Engineering and Computer Science, Queen Mary University of London, London
来源：
IEEE Transactions on Vehicular Technology | 2024年 / 73卷 / 11期
关键词：
achievable rate; Active reconfigurable intelligent surface (RIS); Decoding; decoding error probability; Error probability; Reliability; Rician channels; Signal to noise ratio; Ultra reliable low latency communication; ultra-reliable low-latency communication (URLLC); Vectors;
D O I：
10.1109/TVT.2024.3425477
中图分类号：
学科分类号：
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 smallscale active RIS significantly RIS in the URLLC system IEEE
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页码：1 / 6
页数：5
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