ICE: Intelligent Cell BrEathing to Optimize the Utilization of Green Energy


This letter proposes Intelligent Cell brEathing (ICE) to optimize the utilization of inexperienced energy in cellular networks by minimizing the maximal energy depleting rate of the low-power base stations powered by green energy. Minimizing the maximal depleting rate is an NP-laborious problem. ICE is thus proposed to achieve low computational complexity. ICE, in every iteration, finds the energy dependent set and therefore the vector of beacon power level decrements for low-power base stations in the set, and then shrinks the coverage space of these base stations by reducing their beacon power levels. The algorithm iterates until the optimal answer is found. ICE balances the energy consumptions among LBSs, permits a lot of users to be served with green energy, and therefore reduces the on-grid energy consumption.

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