Performance Analysis of IRS-Assisted Cell-Free Communication

被引：6

作者：

Galappaththige, Diluka Loku ^{[1
]}

Kudathanthirige, Dhanushka ^{[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：

INTELLIGENT REFLECTING SURFACE; OPTIMIZATION;

D O I：

10.1109/GLOBECOM46510.2021.9685730

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the feasibility of adopting an intelligent reflective surface (IRS) in a cell-free wireless communication system is studied. The received signal-to-noise ratio (SNR) for this IRS-enabled cell-free set-up is optimized by adjusting phase-shifts of the passive reflective elements. Then, tight approximations for the probability density function and the cumulative distribution function for this optimal SNR are derived for Rayleigh fading. To investigate the performance of this system model, tight bounds/approximations for the achievable rate and outage probability are derived in closed firm. The impact of discrete phase-shifts is modeled, and the corresponding detrimental effects are investigated by deriving an upper bound for the achievable rate in the presence of phase-shift quantization errors. MonteCarlo simulations are used to validate our statistical characterization of the optimal SNR, and the corresponding analysis is used to investigate the performance gains of the proposed system model. We reveal that IRS-assisted communications can boost the performance of cell-free wireless architectures.

引用

页数：6

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