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Users Selection and Resource Allocation in Intelligent Reflecting Surfaces Assisted Cellular Networks.

, , , , and . WiMob, page 121-126. IEEE, (2021)

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Cost-efficient radio resource allocation in hybrid energy cellular networks., , and . GLOBECOM, page 2472-2478. IEEE, (2014)Users Selection and Resource Allocation in Intelligent Reflecting Surfaces Assisted Cellular Networks., , , , and . WiMob, page 121-126. IEEE, (2021)Radio resource allocation algorithms for energy efficient cellular networks powered by renewable energy and smart grid. (Algorithmes d'allocation de ressources radio pour l'énergie Réseaux Cellulaires efficaces alimentés par l'énergie renouvelable et Smart Grid).. University of Rennes 1, France, (2015)A Distributed Q-Learning Approach for Adaptive Sleep Modes in 5G Networks., , , and . WCNC, page 1-6. IEEE, (2019)Analysis of Energy and Cost Savings in Hybrid Base Stations Power Configurations., , and . VTC Spring, page 1-7. IEEE, (2018)Small Cells Deployment for Cost Reduction of Hybrid-Energy Cellular Networks., , and . VTC Fall, page 1-5. IEEE, (2016)Location-Aware Sleep Strategy for Energy-Delay Tradeoffs in 5G with Reinforcement Learning., , , and . PIMRC, page 1-6. IEEE, (2019)Services KPI-based Energy Management Strategies for Green Wireless Networks., , and . PIMRC, page 1-7. IEEE, (2018)Grid energy consumption of mixed-traffic cellular networks with renewable energy sources., , and . OnlineGreenComm, page 1-6. IEEE, (2016)Reducing Energy Consumption in NB-IoT by Compressing Data and Aggregating Transmission., , , , , and . ApplePies, volume 1110 of Lecture Notes in Electrical Engineering, page 181-188. Springer, (2023)