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Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey.

, , , , and . CoRR, (2021)

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DQN-Based Multi-User Power Allocation for Hybrid RF/VLC Networks., , , and . ICC, page 1-6. IEEE, (2021)Multi-user frequency-time coded quantum key distribution network using a plug-and-play system., , , and . ONDM, page 53-58. IEEE, (2018)Performance evaluation of space time coding techniques for indoor visible light communication systems., , , and . ONDM, page 88-93. IEEE, (2018)Deep Reinforcement Learning for Radio Resource Allocation and Management in Next Generation Heterogeneous Wireless Networks: A Survey., , , , and . CoRR, (2021)Secure and Energy-Efficient Communication for Internet of Drones Networks: A Deep Reinforcement Learning Approach., , and . IWCMC, page 818-823. IEEE, (2023)DeepRAT: A DRL-Based Framework for Multi-RAT Assignment and Power Allocation in HetNets., , , and . ICC Workshops, page 1-6. IEEE, (2021)Multi-Task DRL for Rate Control in RIS-Assisted Multi-Cell Dual-Connectivity HetNets., , , , and . GLOBECOM, page 3241-3246. IEEE, (2022)Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNets., , , , and . IEEE Trans. Netw. Sci. Eng., 9 (4): 2481-2494 (2022)Path loss channel models for 5G cellular communications in Riyadh city at 60 GHz., , , , and . ICC, page 1-6. IEEE, (2016)Receiver spatial diversity propagation path-loss model for an indoor environment at 2.4 GHz., , , , and . NOF, page 1-4. IEEE, (2015)