Accurate Statistical Characterization for Cooperative Multi RIS-Aided Wireless System

Aman Sikri; Samrat Mukhopadhyay; Bassant Selim; Georges Kaddoum

doi:10.1109/LCOMM.2026.3677601

Accurate Statistical Characterization for Cooperative Multi RIS-Aided Wireless System

Aman Sikri
, Samrat Mukhopadhyay
, Bassant Selim
, Georges Kaddoum

Indian Institute of Technology, Dhanbad

Résultats de recherche: Contribution à un journal › Article publié dans une revue, révisé par les pairs › Revue par des pairs

Résumé

Reconfigurable intelligent surfaces (RIS) constitute a promising technology for beyond- 5^th Generation (B5G)/ 6^th Generation (6G) wireless systems. In this letter, using recursion approach, the second and fourth moment for the cooperative M RIS-aided end-to-end channel are derived. Based on the moment matching (MM) approach, these moments are utilized to approximate the distribution for the cooperative M RIS-assisted channel. It is shown that the outage probability (OP) and ergodic capacity (EC) performance of the considered system improves with the increase in M when the number of reflecting elements (REs) per RIS is large.

langue originale	Anglais
Pages (de - à)	1504-1508
Nombre de pages	5
journal	IEEE Communications Letters
Volume	30
Les DOIs	https://doi.org/10.1109/LCOMM.2026.3677601
état	Publié - 2026

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10.1109/LCOMM.2026.3677601

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AU - Kaddoum, Georges

PY - 2026

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AB - Reconfigurable intelligent surfaces (RIS) constitute a promising technology for beyond- 5th Generation (B5G)/ 6th Generation (6G) wireless systems. In this letter, using recursion approach, the second and fourth moment for the cooperative M RIS-aided end-to-end channel are derived. Based on the moment matching (MM) approach, these moments are utilized to approximate the distribution for the cooperative M RIS-assisted channel. It is shown that the outage probability (OP) and ergodic capacity (EC) performance of the considered system improves with the increase in M when the number of reflecting elements (REs) per RIS is large.

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