This work studies the optimization of battery resource configurations to cope with the duration uncertainty of base station interruption. . Under the “dual carbon” goals, enhancing the energy supply for communication base stations is crucial for energy conservation and emission reduction. An individual base station with wind/photovoltaic (PV)/storage system exhibits limited scalability, resulting in poor economy and reliability. To. . Abstract—With the explosion of wireless communications in number of users and data rates, the reduction of network power consumption becomes more and more critical. This is especially true for base stations which represent a dominant share of the total power in cellular networks. The research delves into the distribution of power consumption across different types of base stations, highlighting the significant role of power amplifiers in macro stations and baseband processing units. . While numerous equipment providers offer “low-power” GSM Base Stations (BTS) for use with renewable energy sources, these have a power floor of roughly 70W, which still necessitates a large upfront expenditure. The naïve solution to this problem is duty-cycling—simply turning off the equipment for. . a method performed by a BS for power saving configurationincludes receiving at least one of a first Resource Control (RRC) parameter or a second RRC parameter, the first RRC parameter indicating that a UE supports a first search space set group (SSSG) switching mechanism, and the second RRC. . This work studies the optimization of battery resource configurations to cope with the duration uncertainty of base station interruption. We mainly consider the demand transfer and sleep mechanism of the base station and establish a two-stage stochastic programming model to minimize battery. .
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