Beyond conventional wireless: exact closed-form insights into IRS-aided dual-hop systems over MFTR-Rayleigh channels

This paper presents an accurate closed-form approximation for the end-to-end SNR of dual-hop Intelligent Reflecting Surface (IRS)-assisted wireless communication systems. Unlike prior studies, the proposed framework remains accurate for both small and large numbers of IRS elements, addressing a critical gap in performance modelling. The analysis considers a multi-cluster fluctuating two-ray (MFTR) fading model for the IRS-to-receiver link and Rayleigh fading for the BS-to-IRS link, ensuring applicability to conventional, non-conventional, and Terahertz communication environments. Closed-form expressions for outage probability (OP), bit error rate (BER), and average channel capacity (ACC) are derived, providing comprehensive insights into system performance under diverse fading conditions. Results show nearly a 50% reduction in transmit power to achieve the same BER as a non-IRS system. Extensive Monte Carlo simulations validate the analytical expressions, offering a reliable benchmark for evaluating IRS-aided networks. This work establishes an analytical foundation for optimized IRS deployment and next-generation wireless system design.

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Publication Details

Journal
Wireless Networks
Published
2026-03-14
DOI
https://doi.org/10.1007/s11276-026-04093-8
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond conventional wireless: exact closed-form insights into IRS-aided dual-hop systems over MFTR-Rayleigh channels

Pramod Martha, Rohit Kumar, Shweta Singh, M. Jagadeesh Chandra Prasad et al.
Wireless Networks
Advanced Wireless Communication Technologies
article

Beyond conventional wireless: exact closed-form insights into IRS-aided dual-hop systems over MFTR-Rayleigh channels

Pramod Martha, Rohit Kumar, Shweta Singh, M. Jagadeesh Chandra Prasad, Kumar Sekhar Roy
article en

Abstract

This paper presents an accurate closed-form approximation for the end-to-end SNR of dual-hop Intelligent Reflecting Surface (IRS)-assisted wireless communication systems. Unlike prior studies, the proposed framework remains accurate for both small and large numbers of IRS elements, addressing a critical gap in performance modelling. The analysis considers a multi-cluster fluctuating two-ray (MFTR) fading model for the IRS-to-receiver link and Rayleigh fading for the BS-to-IRS link, ensuring applicability to conventional, non-conventional, and Terahertz communication environments. Closed-form expressions for outage probability (OP), bit error rate (BER), and average channel capacity (ACC) are derived, providing comprehensive insights into system performance under diverse fading conditions. Results show nearly a 50% reduction in transmit power to achieve the same BER as a non-IRS system. Extensive Monte Carlo simulations validate the analytical expressions, offering a reliable benchmark for evaluating IRS-aided networks. This work establishes an analytical foundation for optimized IRS deployment and next-generation wireless system design.

Wireless Networks
Manipal Academy of Higher Education (IN), Narayana Health (IN), University of Petroleum and Energy Studies (IN)
Openalex Percentile: Top 21%
Advanced Wireless Communication Technologies
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