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 back-up power for the
This paper presented a comprehensive analysis of Battery Swapping Station (BSS) operations under a Time-of-Day (ToD) tariff scheme using Particle Swarm Optimization (PSO) and
In this paper, we closely examine the base station features and backup battery features from a 1.5-year dataset of a major cellular service provider, including 4,206 base stations distributed across 8,400
Accurate state-of-charge (SOC) estimation is crucial for optimal battery management. This paper proposes a novel method, the Improved Sparrow Search Algorithm-Backpropagation (ISSA
The upper level is mainly based on DRL algorithm, which models the uncertainty of external factors, including the battery demand and electricity price. To extract features from the data
Abstract ase Stations (RBS) by developing a dynamic battery management system. This research leverages historical electricity price data and advanced optimization alg
In this paper we will present a dynamic optimum method for base station replacement so that can save energy in sensors and increases network lifetime. Because positioning problem is a NP-hard
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 are
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 battery
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