Performance Analysis of Distributed Intelligent Reflective Surface Aided Communications

被引：34
作者：
Galappaththige, Diluka Loku [1 ]
Kudathanthirige, Dhanushka [1 ]
Amarasuriya, Gayan [1 ]
机构：
[1] Southern Illinois Univ, Dept Elect & Comp Engn, Carbondale, IL 62901 USA
来源：
2020 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2020年
关键词：
D O I：
10.1109/GLOBECOM42002.2020.9348102
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, the performance of a distributed intelligent reflective surface (IRS)-aided communication system is investigated. To this end, the optimal signal-to-noise ratio (SNR) achievable through the direct and reflected channels is quantified by controlling the phase-shifts of the distributed IRS. This optimal SNR is statistically characterized by deriving tight approximations to the exact probability density function and cumulative distribution function for Nakagami-m fading. Thereby, the outage probability and achievable rate bounds are derived in closed-form, and they are validated via Monte-Carlo simulations. Our numerical results reveal that the distributed IRS-aided communication set-ups can boost the outage and rate performance of wireless systems.
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页数：6
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