Base Station Energy Saving based on Imitation Learning in 5G
Then, considering the dynamic nature of the environment, this article proposes a dynamic BS switching algorithm that introduces the idea of imitation learning (IL) to update the
Then, considering the dynamic nature of the environment, this article proposes a dynamic BS switching algorithm that introduces the idea of imitation learning (IL) to update the
motes operators to network upgrade, expansion and base station (BS) densification. their customer demands by enhancing their network capacity and coverage extension.
Finally, we propose an algorithm that designs experiments only based on three OED variables, targeting equilibrium states, experiment dynamics and current magnitudes.
In the communication power supply field, base station interruptions may occur due to sudden natural disasters or unstable power supplies. This work studies the optimization of
In the communication power supply field, base station interruptions may occur due to sudden natural disasters or unstable
This paper presented a comprehensive analysis of Battery Swapping Station (BSS) operations under a Time-of-Day (ToD) tariff scheme using Particle Swarm Optimization
Abstract ase Stations (RBS) by developing a dynamic battery management system. This research leverages historical electricity price data and advanced optimization alg
In this article, an algorithm for automatic control of energy sources was developed to improve the uninterrupted power supply of mobile communication base stations. Based on the proposed
In this paper, broadly, we aim to design the energy-aware networking method in a network emulation platform, ns-3, in which the sleep or wakeup switching choices at the BSs
At the same time, abundance of base stations (BSs) are constructed along with the rapid development of Information and Communications Technology (ICT). Batteries are installed as
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