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Proactive Resource Scheduling for 5G and Beyond Ultra-Reliable Low Latency Communications.

, , and . VTC Spring, page 1-5. IEEE, (2022)

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Ghost Femtocells: an Energy-Efficient Radio Resource Management Scheme for Two-Tier Cellular Networks., , and . EW, VDE-Verlag, (2011)Cross-layer approach enabling communication of high number of devices in 5G mobile networks., , and . WiMob, page 809-816. IEEE Computer Society, (2015)Multi-Agent Deep Reinforcement Learning Based User Association for Dense mmWave Networks., , and . GLOBECOM, page 1-6. IEEE, (2019)Interference-aware dynamic spectrum access in cognitive radio network., and . PIMRC, page 396-400. IEEE, (2011)Q-learning-based prediction of channel quality after handover in mobile networks., , and . PIMRC, page 1359-1364. IEEE, (2014)An energy efficient cell selection scheme for Open Access femtocell networks., , and . PIMRC, page 436-441. IEEE, (2012)Base-Station Duty-Cycling and Traffic Buffering as a Means to Achieve Green Communications., and . VTC Fall, page 1-6. IEEE, (2012)Two-regimes interference classifier: An interference-aware resource allocation algorithm., , and . WCNC, page 792-797. IEEE, (2014)A strategy for research projects to impact standards and regulatory bodies: The approach of the EU-funded project MiWaveS., , , , , , , , , and . CSCN, page 24-29. IEEE, (2015)Introduction to the special section on deep reinforcement learning for future wireless communication networks., , , , , , and . IEEE Trans. Cogn. Commun. Netw., 5 (4): 1019-1023 (2019)