Co-channel interference; deep neural network; energy harvesting; Internet of Things; non-orthogonal multiple access; power beacon; two-way relay; wireless power transfer; Co-channel interferences; Multiple access; NOMA; Non-orthogonal; Non-orthogonal multiple access; Power; Power beacon; Relay; Resource management; Two-way relay; Software; Computer Networks and Communications; Electrical and Electronic Engineering
Abstract :
[en] This study investigates a two-way relaying non-orthogonal multiple access (TWR-NOMA) enabled Internet-of-Things (IoT) network, in which two NOMA users communicate via an IoT access point (IAP) relay using a decode-and-forward (DF) protocol. A power beacon (PB) is used to power the IAP to address the IAP's limited lifetime due to energy constraints. Since co-channel interference (CCI) is inevitable in IoT systems, this effect is also studied in the proposed system to improve practicality. Based on the proposed system model, the closed-form equations for the exact and asymptotic outage probability (OP) and ergodic data (ED) of the NOMA users' signals are first derived to describe the performance of TWR-NOMA systems. The system's diversity order and throughput are then evaluated according to the derived results. To further improve the system's performance, a low-complexity strategy 2D golden section search (GSS) is performed, subject to power allocation (PA) and time-switching (TS) factors, to optimize the outage performance. Finally, a deep learning design with minimal computing complexity and precision OP prediction is established for a real-time IoT network configuration. The numerical results are discussed and analyzed in terms of the effects of the CCI, the TS ratio, the PA factor, the fading parameter on the OP, system throughput, and ED.
Disciplines :
Computer science
Author, co-author :
Le, Anh-Tu ; VSB-Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, Ostrava, Czech Republic
TRAN DINH, Hieu ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Le, Chi-Bao ; Transcosmos Vietnam, Ho Chi Minh City, Viet Nam
Tin, Phu Tran ; Ton Duc Thang University, Data Science Laboratory, Faculty of Information Technology, Ho Chi Minh City, Viet Nam
Nguyen, Tan N. ; Ton Duc Thang University, Communication and Signal Processing Research Group, Faculty of Electrical and Electronics Engineering, Ho Chi Minh City, Viet Nam
Ding, Zhiguo ; Department at Khalifa University, Electrical and Computer Engineering (ECE), Abu Dhabi, United Arab Emirates
Poor, H. Vincent ; Princeton University, Department of Electrical and Computer Engineering, Princeton, United States
Voznak, Miroslav ; VSB-Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, Ostrava, Czech Republic
External co-authors :
yes
Language :
English
Title :
Power Beacon and NOMA-Assisted Cooperative IoT Networks with Co-Channel Interference: Performance Analysis and Deep Learning Evaluation
Publication date :
June 2024
Journal title :
IEEE Transactions on Mobile Computing
ISSN :
1536-1233
Publisher :
Institute of Electrical and Electronics Engineers Inc.
European Union within the REFRESH project - Research Excellence For Region Sustainability and High-tech Industries ID European Just Transition Fund Ministry of Education, Youth and Sports of the Czech Republic SGS ID National Science Foundation
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