User Fairness Maximization in Multicarrier Cognitive NOMA-WPCN with Imperfect SIC

Jhenifer de Oliveira Melo, Pedro Victor Martins Castro, Francisco Rafael Marques Lima

DOI: 10.14209/sbrt.2024.1571036816

Evento: XLII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2024)

Keywords: Fairness NOMA WPCN Multicarrier

Abstract

This paper studies user fairness maximization in multi-carrier Cognitive Radio (CR) Non-Orthogonal Multiple Access (NOMA) based Wireless Powered Communication Network (WPCN) under imperfect Successive Interference Cancellation (SIC) in a Internet of Things (IoT) context. The system comprises a mix of users, with one high-priority delay-sensitive user and the remaining delay-tolerant users, reflecting the diversity of IoT devices. Based on this, we investigate resource allocation in terms of subcarrier assignment to users, optimization of the time length of the first phase of WPCN operation, and SIC decoding order definition in the second phase of WPCN. An optimization problem is formulated, the optimal solution is derived and low-complexity solutions are proposed, aiming to provide reasonable alternatives for resource allocation with reduced computational cost. Simulation results demonstrate the effectiveness of the proposed suboptimal solutions in achieving good performance while maintaining low computational complexity, thus offering insights for the design and optimization of WPCN-NOMA systems in IoT and cognitive radio scenarios.

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