Outage Probability Analysis of Wireless Paths with Faulty Reconfigurable Intelligent Surfaces

We consider a next generation wireless network incorporating a base station a set of typically low-cost and faulty Reconfigurable Intelligent Surfaces (RISs). The base station needs to select the path including the RIS to provide the maximum signal-to-noise ratio (SNR) to the user. We study the effect of the number of elements, distance and RIS hardware failure on the path outage probability, and based on the known signal propagation model at high frequencies, derive the closed-form expression for the said probability of outage. Numerical results show the path outage likelihood as function of the probability of hardware failure of RIS elements, the number of elements, and the distance between mobile users and the RIS.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/latincom62985.2024.10770648
Citations
1
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.21
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Outage Probability Analysis of Wireless Paths with Faulty Reconfigurable Intelligent Surfaces

Mounir Bensalem, Admela Jukan
1 citations
Advanced Wireless Communication Technologies
0.21
article

Outage Probability Analysis of Wireless Paths with Faulty Reconfigurable Intelligent Surfaces

Mounir Bensalem, Admela Jukan
article en
1 citations

Abstract

We consider a next generation wireless network incorporating a base station a set of typically low-cost and faulty Reconfigurable Intelligent Surfaces (RISs). The base station needs to select the path including the RIS to provide the maximum signal-to-noise ratio (SNR) to the user. We study the effect of the number of elements, distance and RIS hardware failure on the path outage probability, and based on the known signal propagation model at high frequencies, derive the closed-form expression for the said probability of outage. Numerical results show the path outage likelihood as function of the probability of hardware failure of RIS elements, the number of elements, and the distance between mobile users and the RIS.

Technische Universität Braunschweig (DE)
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Advanced Wireless Communication Technologies
0.21
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