Collaborative Edge Intelligence Service Provision in Blockchain Empowered Urban Rail Transit Systems

Liang, Hao; Zhu, Li; Yu, F. Richard

doi:10.1109/jiot.2023.3294400

Cited by 11 publications

(1 citation statement)

References 37 publications

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“…The optimization problem is a mixed‐integer non‐linear problem [26], and it contains three unknown parameters. Therefore, the problem can be decomposed into two independent sub‐problems for solving: channel allocation and power control.…”

Section: System Model and Problem Representationmentioning

confidence: 99%

A joint resource optimization allocation algorithm for NOMA‐D2D communication

Xie,

Li,

2024

IET Communications

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The AIoT, with its artificial intelligence capabilities, can further enhance Device‐to‐Device (D2D) communication. Based on Non‐Orthogonal Multiple Access (NOMA), D2D technology can effectively alleviate wireless spectrum resource pressure and improve the capacity of heterogeneous cellular networks. However, it also introduces significant system interference issues. In this paper, a resource allocation algorithm is proposed for the NOMA‐D2D heterogeneous cellular network, based on a multi‐agent deep reinforcement learning framework. Firstly, the algorithm allocates appropriate channels to D2D clusters. Then, the power allocation factors and D2D transmit power are jointly optimized to suppress the interference and improve the system performance. Simulation results show that both the channel allocation efficiency and the power control performance of the system can be significantly improved.

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Section: System Model and Problem Representationmentioning

confidence: 99%