While 5G networks require denser base station deployments, they also introduce advanced energy management capabilities. Massive MIMO technology, beamforming, and network
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Our research addresses the critical intersection of communication and power systems in the era of advanced information technologies. We highlight the strategic importance of
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Abstract: With the maturity and large-scale deployment of 5G technology, the proportion of energy consumption of base stations in the smart grid is increasing, and there is an urgent need to reduce
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As the new radio (NR) based 5G network is configured to transmit signal blocks for every 20 ms, the proposed algorithm implements withstanding capacity of on or off based energy switching,
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Case studies demonstrate that the proposed model effectively integrates the characteristics of electrical components and data flow, enhancing energy efficiency while satisfying
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In this paper we investigate on an integrated approach for lowering energy consumption of macro base stations by improved hardware and by “green” resource management adapting the system capacity
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With the relentless global expansion of 5G networks and the increasing demand for data, communication base stations face unprecedented challenges in ensuring uninterrupted power supply and managing
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In today''s 5G era, the energy efficiency (EE) of cellular base stations is crucial for sustainable communication. Recognizing this, Mobile Network Operators are actively prioritizing EE for both
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We develop the multi-step Q-learning of the RL algorithm to optimize base station sleeping strategies. Simulation results are provided to show the process and effectiveness of the proposed scheme.
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