학술논문

Sum Capacity-Based Modeling and Secrecy Analysis of MISO-NOMA Cooperative IoT Framework
Document Type
Periodical
Source
IEEE Open Journal of the Communications Society IEEE Open J. Commun. Soc. Communications Society, IEEE Open Journal of the. 5:156-167 2024
Subject
Communication, Networking and Broadcast Technologies
NOMA
Internet of Things
Optimization
Security
Downlink
Signal to noise ratio
Array signal processing
IoT
ergodic capacity
eavesdropper
secrecy
SWIPT
Language
ISSN
2644-125X
Abstract
Non-orthogonal multiple access (NOMA) has emerged as an effective technology, aiding in latency reduction, improving security and reliability, and enhancing the spectral efficiency and capacity in Internet of Things (IoT)-enabled communication systems. In this work, an implementation of co-operative secure multiple-input single-output NOMA IoT framework is proposed and examined in a two-fold manner. First, under the consideration of standalone links, a user selection criteria which relies on the characterization of sum ergodic capacity (SEC) is investigated in the presence of an eavesdropper (ED) and beamforming constraints. Next, using the optimized beamformers, a user selection criteria which relies on the outage probability analysis is performed under cooperative relaying considerations. We demonstrate that our optimization approach achieves reduced capacity and coverage for the ED while maximizing the overall SEC and coverage of the network under multiple network configurations. The proposed optimization solution demonstrates superior performance compared to the benchmarked schemes. Derived closed-form analytical expressions are validated through simulation means.