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A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks., , , , and . CoRR, (2022)Communication and Computation O-RAN Resource Slicing for URLLC Services Using Deep Reinforcement Learning., , , and . CoRR, (2022)Communication and Computation O-RAN Resource Slicing for URLLC Services Using Deep Reinforcement Learning., , , and . IEEE Commun. Stand. Mag., 7 (1): 66-73 (March 2023)Multi-Access Edge Computing: A Survey., , , , and . IEEE Access, (2020)Caching, device-to-device and fog computing in 5th cellular networks generation : Survey., , and . WINCOM, page 1-6. IEEE, (2017)A Deep Reinforcement Learning Approach for Service Migration in MEC-enabled Vehicular Networks., , , , and . LCN, page 273-280. IEEE, (2021)Dynamic SDN-based Radio Access Network Slicing with Deep Reinforcement Learning for URLLC and eMBB Services., , , and . CoRR, (2022)Preemptive SDN Load Balancing With Machine Learning for Delay Sensitive Applications., , , and . IEEE Trans. Veh. Technol., 69 (12): 15947-15963 (2020)Federated Learning for RAN Slicing in Beyond 5G Networks., , , and . CoRR, (2022)SDN Controller Assignment and Load Balancing with Minimum Quota of Processing Capacity., , , and . ICC, page 1-6. IEEE, (2018)