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dc.contributor.authorChamola, Vinay-
dc.date.accessioned2023-03-16T10:16:20Z-
dc.date.available2023-03-16T10:16:20Z-
dc.date.issued2016-05-
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/7406685-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9790-
dc.description.abstractUsing renewable resources like solar energy to power the base stations (BSs) has emerged as a promising solution for greening cellular networks. One of the key challenges in operating a network of such BSs is to intelligently manage the green energy available to the BSs while ensuring reliable quality of service (QoS). This letter presents a methodology for maximizing the QoS, in terms of the network latency, given the constraints on the energy availability at the solar-powered BSs. In contrast to existing approaches based on user association reconfiguration, our methodology uses a combination of intelligent energy allocation and BS downlink power control. Using a real BS deployment scenario from U.K., we show the efficacy of our algorithm and demonstrate its superior performance compared to existing benchmarks.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectEEEen_US
dc.subjectGreen communicationsen_US
dc.subjectDownlink power controlen_US
dc.subjectEnergy efficiencyen_US
dc.subjectDelay awareen_US
dc.subjectSolar energyen_US
dc.titleAn Energy and Delay Aware Downlink Power Control Strategy for Solar Powered Base Stationsen_US
dc.typeArticleen_US
Appears in Collections:Department of Electrical and Electronics Engineering

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