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 (2024) Performance analysis of STAR-RIS-CR-NOMA based consumer IoT networks for Resilient Industry 5.0. IEEE Transactions on Consumer Electronics, 70 (1). pp. 1380-1391. ISSN 0098-3063

Preview

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

Official URL: https://doi.org/10.1109/TCE.2023.3319402

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.

Item Type:	Article (Article)
Peer-reviewed:	Yes
Date Deposited:	03 Nov 2023 10:37
Publisher:	Institute of Electrical and Electronics Engineers
Additional Information:	© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Divisions:	Faculties > Science and Engineering
Subject terms:	0906 Electrical and Electronic Engineering, 1005 Communications Technologies, Networking & Telecommunications
URI:	https://mmu-uat.leaf.cosector.com/id/eprint/632945
DOI:	https://doi.org/10.1109/TCE.2023.3319402
ISSN	0098-3063
e-ISSN	1558-4127

Impact and Reach

Statistics

DownloadsShow export options

Activity Overview

6 month trend

245Downloads

6 month trend

32Hits

Additional statistics for this dataset are available via IRStats2.

Altmetric

Repository staff only

Edit record