Performance Analysis of Intelligent Reflecting Surface Aided Communication Systems

2020/08/01 by Qin Tao, Junwei Wang, Tao, Qin +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · Mathematics · #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #Information Theory (cs.IT) #Ocular Disorders and Treatments #Optical Wireless Communication Technologies #cs.IT #math.IT

paper · pdf · doi:10.48550/arxiv.2008.00189

arxiv created 2020/08/01 · openalex publication_date 2020/08/01 · arxiv updated 2020/08/04 · openalex created_date 2020/08/07 · openalex updated_date 2026/07/28

Abstract

This letter presents a detailed performance analysis of the intelligent reflecting surface (IRS) aided single-input single-output communication systems, taking into account of the direct link between the transmitter and receiver. A closed-form upper bound is derived for the ergodic capacity, and an accurate approximation is obtained for the outage probability. In addition, simplified expressions are presented in the asymptotic regime. Numerical results are provided to validate the correctness of the theoretical analysis. It is found that increasing the number of reflecting elements can significantly boost the ergodic capacity and outage probability performance, and a strong line-of-sight component is also beneficial. In addition, it is desirable to deploy the IRS close to the transmitter or receiver, rather than in the middle.

Citations

• Large Intelligent Surface-Assisted Wireless Communication Exploiting Statistical CSI
• Beamforming Optimization for Wireless Network Aided by Intelligent Reflecting Surface With Discrete Phase Shifts
• Analysis and Optimization of an Intelligent Reflecting Surface-assisted System with Interference
• A Comprehensive Study of Reconfigurable Intelligent Surfaces in Generalized Fading

Cited by

• Performance Analysis of Underwater Optical Wireless Communication Using O-RIS and Fiber Optic Backhaul (Extended version)
• RIS Partitioning and User Clustering for Resilient Non-Orthogonal Multiple Access UAV Networks

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