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• W3154279969 endingPage "101205" @default.
• W3154279969 startingPage "101205" @default.
• W3154279969 abstract "There has been a surge in telecommunication network deployments across the globe to facilitate advanced communication infrastructure which is necessary for smart cities. This has in turn increased the power consumption of telecommunication networks, thus motivating the need to adopt green energy solutions like solar energy to power them. Base stations (BSs) are the primary entities contributing to the power consumption in the telecommunication network. To efficiently deploy solar powered base stations, it is imperative to optimally provision them with appropriate Photo Voltaic (PV) panel and battery resources. The ultimate goal of such dimensioning is to provide best possible quality of service (QoS) to the consumers while maintaining an optimal cost of deployment and operation. Both PV panels and the batteries are major contributors while calculating the overall cost of deployment and operation for a solar powered BSs. Therefore an accurate calculation of battery lifetime with respect to different PV panel dimension and battery sizes is an important step in cost optimal resource provisioning for the solar powered BSs. This issue is addressed in this paper by presenting an analytical scheme to estimate the battery lifetime for a particular resource provisioning of PV panels and batteries. This is then used for evaluating the cost-optimal photo-voltaic panel dimensions and battery size for the base station with acceptable limit of outage probability. The proposed methodology would find great relevance in developing energy efficient sustainable telecommunication networks for upcoming smart cities." @default.
• W3154279969 created "2021-04-26" @default.
• W3154279969 creator A5005020243 @default.
• W3154279969 creator A5015018370 @default.
• W3154279969 date "2021-08-01" @default.
• W3154279969 modified "2023-09-24" @default.
• W3154279969 title "Battery lifetime estimation for energy efficient telecommunication networks in smart cities" @default.
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• W3154279969 doi "https://doi.org/10.1016/j.seta.2021.101205" @default.
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