Spectrum Efficient Mode Selection and Resource Allocation Optimization for D2D Communication in HetNet: A Multi-Agent Q-Learning Approach

Device-to-Device (D2D) communication has shown great potential as a technology for beyond-fifth-generation (B5G) heterogeneous networks (HetNets) to meet the increasing needs of smart mobile devices. However, the implementation of D2D communications is accompanied by various technical challenges and...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Ali Majid Hasan Alibraheemi, Mhd Nour Hindia, Tengku Faiz Tengku Mohmed Noor Izam, Kaharudin Dimyati
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Device-to-device (D2D) communications mode selection channel allocation power allocation multi-agent Q-learning (MAQL) reinforcement learning (RL)
Online Access:	https://ieeexplore.ieee.org/document/10643123/