Article: Performance analysis of multi-RIS system with RIS selection Journal: International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC) 2025 Vol.50 No.4 pp.198 - 204 Abstract: In this research study, we delve into the performance analysis of systems that incorporate multi re-configurable intelligent surfaces (M-RIS), where RIS selection takes place at the destination. Specifically, our focus lies on deriving novel expressions for various end-to-end (e2e) metrics, including the probability density function (pγs,LSC), cumulative distribution function (Fγs,L SC), outage probability (Pγs,L SC), average bit error rate (Pe,LSC), and ergodic channel capacity (Ps,LSC). These evaluations are conducted within the context of an M-RIS enabled system, where the RIS with the highest e2e signal-to-noise ratio (SNR) is selected, assuming independent Rayleigh fading channels. Furthermore, we present graphical representations and numerical evaluations of the analytically derived results for the aforementioned performance measures. This enables us to explore the impact of varying the number of RIS structures and the number of RIS elements on the system's overall performance. Inderscience Publishers - linking academia, business and industry through research

Title: Performance analysis of multi-RIS system with RIS selection

Authors: Caslav Stefanovic; Marko Smilic; Danijel Djosic

Addresses: Faculty of Natural Sciences and Mathematics, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia ' Faculty of Natural Sciences and Mathematics, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia ' Faculty of Natural Sciences and Mathematics, University of Pristina in Kosovska Mitrovica, Kosovska Mitrovica, Serbia

Abstract: In this research study, we delve into the performance analysis of systems that incorporate multi re-configurable intelligent surfaces (M-RIS), where RIS selection takes place at the destination. Specifically, our focus lies on deriving novel expressions for various end-to-end (e2e) metrics, including the probability density function (p_{γ_s,L}^SC), cumulative distribution function (F_{γ_s,L} ^SC), outage probability (P_{γ_s,L} ^SC), average bit error rate (P_e,L^SC), and ergodic channel capacity (P_s,L^SC). These evaluations are conducted within the context of an M-RIS enabled system, where the RIS with the highest e2e signal-to-noise ratio (SNR) is selected, assuming independent Rayleigh fading channels. Furthermore, we present graphical representations and numerical evaluations of the analytically derived results for the aforementioned performance measures. This enables us to explore the impact of varying the number of RIS structures and the number of RIS elements on the system's overall performance.

Keywords: 6G; multi-RIS enabled system; performance analysis; selection combining.

DOI: 10.1504/IJAHUC.2025.150215

International Journal of Ad Hoc and Ubiquitous Computing, 2025 Vol.50 No.4, pp.198 - 204

Received: 11 Feb 2025
Accepted: 07 Apr 2025
Published online: 03 Dec 2025 *

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Title: Performance analysis of multi-RIS system with RIS selection

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