On the Performance of IRS-Assisted Relay Systems

被引：2
作者：
Galappaththige, Diluka Loku [1 ]
Devkota, Alan [1 ]
Amarasuriya, Gayan [1 ]
机构：
[1] Southern Illinois Univ, Sch Elect Comp & Biomed Engn, Carbondale, IL 62901 USA
来源：
2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2021年
关键词：
RECONFIGURABLE INTELLIGENT SURFACES; COMMUNICATION;
D O I：
10.1109/GLOBECOM46510.2021.9685500
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the performance of intelligence reflective surface (IRS)-assisted relay systems. To this end, we quantify the optimal signal-to-noise ratio (SNR) attained by smartly controlling the phase-shifts of impinging electromagnetic waves upon an IRS. Thereby, a tightly approximated cumulative distribution function is derived to probabilistically characterize this optimal SNR. Then, we derive tight approximations/bounds for the achievable rate, outage probability, and average symbol error rate. Monte-Carlo simulations are used to validate our performance analysis. We present numerical results to reveal that the IRS-assisted relay system can boost the performance of end-to-end wireless transmissions.
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页数：6
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