Optimal Resource Allocation for Full-Duplex IoT Systems Underlaying Cellular Networks with Mutual SIC NOMA
Antoine Kilzi, Joumana Farah, Charbel Abdel Nour, Catherine Douillard

TL;DR
This paper proposes an optimal resource allocation method for full-duplex IoT systems using mutual SIC NOMA to enhance D2D throughput and interference management in cellular networks, demonstrating significant performance gains over traditional methods.
Contribution
It introduces a novel joint channel and power allocation approach leveraging mutual SIC NOMA for full-duplex IoT systems, with a graph-based solution for non-convex optimization.
Findings
Mutual SIC NOMA significantly improves throughput in IoT-cellular networks.
The proposed solution achieves constant time complexity for power allocation.
Performance gains are observed in both half-duplex and full-duplex scenarios.
Abstract
Device-to-device (D2D) and non-orthogonal multiple access (NOMA) are promising technologies to meet the challenges of the next generations of mobile communications in terms of network density and diversity for internet of things (IoT) services. This paper tackles the problem of maximizing the D2D sum-throughput in an IoT system underlaying a cellular network, through optimal channel and power allocation. NOMA is used to manage the interference between cellular users and full-duplex (FD) IoT devices. To this aim, mutual successive interference cancellation (SIC) conditions are identified to allow simultaneously the removal of the D2D devices interference at the level of the base station and the removal of the cellular users (CU) interference at the level of D2D devices. To optimally solve the joint channel and power allocation (PA) problem, a time-efficient solution of the PA problem in…
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