Performance analysis of STAR-RIS-CR-NOMA based consumer IoT networks for Resilient Industry 5.0

Li, Xingwang, Gao, Xuesong, Yang, Liang, Liu, Hongwu, Wang, Ji and Rabie, Khaled M ORCID: https://orcid.org/0000-0002-9784-3703 (2023) Performance analysis of STAR-RIS-CR-NOMA based consumer IoT networks for Resilient Industry 5.0. IEEE Transactions on Consumer Electronics. ISSN 0098-3063

Preview

Accepted Version Available under License In Copyright. Download (18MB) | Preview

Abstract

The arrival of the sixth generation (6G) wireless communication will intensify the developments of the Internet of Things (IoT) for widely applications in resilient industry 5.0. Driving the development of the intelligent consumer industry, consumer electronic devices have progressively become indispensable components of the constantly rising IoT. However, the steady rise of consumer IoT intelligent terminals has led to large-scale connections, spectrum scarcity, and energy consumption emerging as crucial challenges for the future wireless communication in resilient industry 5.0. To mitigate the aforementioned issues, a novel simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) assisted cognitive radio (CR)-non-orthogonal multiple access (NOMA) network are proposed. Specifically, we comprehensively elaborate on systems performance in terms of outage probability (OP), ergodic rate (ER) and energy efficiency (EE). Furthermore, the asymptotic OP and ER of the primary and secondary consumer electronic devices under the high signal-to-noise ratio (SNR) regions are investigated to undertake a thorough analysis. We find that the outage and ER performance gradually increase with the transmit SNR, and tend to a fixed value at high SNR regions. In addition, increasing the number of STAR-RIS components will enhance the reliable, ER and EE performance of the considered systems. Finally, the accuracy of analysis and the superiority of the proposed scheme are verified through Monte Carlo simulations.