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Learning to Entangle Radio Resources in Vehicular Communications: An Oblivious Game-Theoretic Perspective., , , , and . IEEE Trans. Veh. Technol., 68 (5): 4262-4274 (2019)Age of Information-Aware Radio Resource Management in Vehicular Networks: A Proactive Deep Reinforcement Learning Perspective., , , , , , and . CoRR, (2019)Federated Learning and Control at the Wireless Network Edge.. GetMobile Mob. Comput. Commun., 24 (3): 9-13 (2020)Statistical Analysis of Self-Organizing Networks With Biased Cell Association and Interference Avoidance., , and . IEEE Trans. Veh. Technol., 62 (5): 1950-1961 (2013)Co-Primary Multi-Operator Resource Sharing for Small Cell Networks., , , , , and . IEEE Trans. Wirel. Commun., 14 (6): 3120-3130 (2015)Learning Emergent Random Access Protocol for LEO Satellite Networks., , , , and . IEEE Trans. Wirel. Commun., 22 (1): 257-269 (2023)Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning., , , , , and . IEEE Internet Things J., 6 (3): 4005-4018 (2019)Full duplex communications Guest Editorial., , and . IEEE Commun. Mag., 53 (5): 90 (2015)Energy-Efficient Power Allocation in OFDMA D2D Communication by Multiobjective Optimization., , and . IEEE Wirel. Commun. Lett., 5 (6): 668-671 (2016)Cache-enabled small cell networks: modeling and tradeoffs., , , and . EURASIP J. Wirel. Commun. Netw., (2015)