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UAV Control for Wireless Service Provisioning in Critical Demand Areas: A Deep Reinforcement Learning Approach.

, , and . IEEE Trans. Veh. Technol., 70 (7): 7138-7152 (2021)

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Hierarchical Matching Game for Service Selection and Resource Purchasing in Wireless Network Virtualization., , , and . IEEE Commun. Lett., 22 (1): 121-124 (2018)Energy-aware Control Of UAV-based Wireless Service Provisioning., , and . GLOBECOM, page 1-6. IEEE, (2021)Deep Reinforcement Learning for URLLC in 5G Mission-Critical Cloud Robotic Application., , , and . GLOBECOM, page 1-6. IEEE, (2021)UAV Trajectory and Sub-channel Assignment for UAV Based Wireless Networks., , , and . WCNC, page 1-6. IEEE, (2020)Decentralized spectrum allocation in D2D underlying cellular networks., , , , and . APNOMS, page 1-6. IEEE, (2016)Matching Theory for Distributed User Association and Resource Allocation in Cognitive Femtocell Networks., , , , , , and . IEEE Trans. Veh. Technol., 66 (9): 8413-8428 (2017)Collaborative Game Theory and Deep Learning Closed-Loop Automation In O-RAN 5G Network Slicing For Smart Grid Applications., , and . ICC, page 5457-5463. IEEE, (2023)Coordinated Resource Partitioning and Data Offloading in Wireless Heterogeneous Networks., , , , , and . IEEE Commun. Lett., 20 (5): 974-977 (2016)Optimized Resource Management in Heterogeneous Wireless Networks., , , , , and . IEEE Commun. Lett., 20 (7): 1397-1400 (2016)Resource management in dense heterogeneous networks., , , , , , and . APNOMS, page 440-443. IEEE, (2015)