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Energy Optimization With Multi-Sleeping Control in 5G Heterogeneous Networks Using Reinforcement Learning., , , , , и . IEEE Trans. Netw. Serv. Manag., 19 (4): 4310-4322 (декабря 2022)Reinforcement learning for radio resource management of hybrid energy cellular networks with battery constraints., , , , и . Comput. Commun., (января 2024)Radio resource allocation in 5G cellular networks powered by the smart grid and renewable energies. (Allocation des ressources radio dans les réseaux cellulaires 5G alimentés par le smart grid et les énergies renouvelables).. IMT Atlantique, IRISA, Rennes, France, (2019)Reinforcement Learning for Delay-Constrained Energy-Aware Small Cells with Multi-Sleeping Control., , и . ICC Workshops, стр. 1-6. IEEE, (2020)Battery Aging-Aware Green Cellular Networks with Hybrid Energy Supplies., , и . PIMRC, стр. 1-7. IEEE, (2018)Battery-Aware Green Cellular Networks Fed By Smart Grid and Renewable Energy., , и . IEEE Trans. Netw. Serv. Manag., 18 (2): 2181-2192 (2021)Location-Aware Sleep Strategy for Energy-Delay Tradeoffs in 5G with Reinforcement Learning., , , и . PIMRC, стр. 1-6. IEEE, (2019)Services KPI-based Energy Management Strategies for Green Wireless Networks., , и . PIMRC, стр. 1-7. IEEE, (2018)A Distributed Q-Learning Approach for Adaptive Sleep Modes in 5G Networks., , , и . WCNC, стр. 1-6. IEEE, (2019)Analysis of Energy and Cost Savings in Hybrid Base Stations Power Configurations., , и . VTC Spring, стр. 1-7. IEEE, (2018)