Efficient Grant-Free Uplink NOMA With Multi-IRS and Sidelink Relays for IIoT-Driven Smart Factories

Industry 5.0 requires advanced communication systems to enable smart factories. These systems must ensure seamless and resilient communication alongwith efficient resource management. To address this, we propose a system model integrating intelligent reflecting surfaces (IRSs), grant-free non-orthogonal multiple access (GF-NOMA), and full-duplex (FD) sidelink relays to enhance reliability, connectivity and spectral efficiency. A dynamic penalty-based particle swarm optimization (DYN-P-PSO) method is adopted for power and phase-shift allocation across multiple IRSs, under Nakagami-m fading conditions aiming to maximize the sum rate of all the devices. The study also investigates the impact of IRS positioning, providing insight into improving communication in industrial internet-of-things (IIoT) deployments with reduced capability (RedCap) devices. The results show that the proposed approach achieves a significant sum rate gain upto ≈70% over conventional and comparable schemes.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-10-02
DOI
https://doi.org/10.1109/lwc.2025.3617114
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
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article

Efficient Grant-Free Uplink NOMA With Multi-IRS and Sidelink Relays for IIoT-Driven Smart Factories

Ranjan K. Mallik, Vimal Bhatia, Brejesh Lall, Amit Singhal et al.
IEEE Wireless Communications Letters
Advanced Wireless Communication Technologies
article

Efficient Grant-Free Uplink NOMA With Multi-IRS and Sidelink Relays for IIoT-Driven Smart Factories

Ranjan K. Mallik, Vimal Bhatia, Brejesh Lall, Amit Singhal, Justin Jose, Yukti Kaura
article en

Abstract

Industry 5.0 requires advanced communication systems to enable smart factories. These systems must ensure seamless and resilient communication alongwith efficient resource management. To address this, we propose a system model integrating intelligent reflecting surfaces (IRSs), grant-free non-orthogonal multiple access (GF-NOMA), and full-duplex (FD) sidelink relays to enhance reliability, connectivity and spectral efficiency. A dynamic penalty-based particle swarm optimization (DYN-P-PSO) method is adopted for power and phase-shift allocation across multiple IRSs, under Nakagami-m fading conditions aiming to maximize the sum rate of all the devices. The study also investigates the impact of IRS positioning, providing insight into improving communication in industrial internet-of-things (IIoT) deployments with reduced capability (RedCap) devices. The results show that the proposed approach achieves a significant sum rate gain upto ≈70% over conventional and comparable schemes.

IEEE Wireless Communications LettersVol. 15
Netaji Subhas University of Technology (IN), Indian Institute of Technology Indore (IN), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 73%
Advanced Wireless Communication Technologies
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