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

被引：54

作者：

Han, Tao ^{[1
]}

Ansari, Nirwan ^{[1
]}

机构：

[1] New Jersey Inst Technol, Dept Elect & Comp Engn, Adv Networking Lab, Newark, NJ 07102 USA

来源：

IEEE COMMUNICATIONS LETTERS | 2012年 / 16卷 / 06期

基金：

美国国家科学基金会;

关键词：

Energy efficient communications; cellular networks; renewable energy; NETWORKS;

D O I：

10.1109/LCOMM.2012.042312.120486

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This letter proposes Intelligent Cell brEathing (ICE) to optimize the utilization of green 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-hard problem. ICE is thus proposed to achieve low computational complexity. ICE, in each iteration, finds the energy dependent set and the vector of beacon power level decrements for low-power base stations in the set, and then shrinks the coverage area of these base stations by reducing their beacon power levels. The algorithm iterates until the optimal solution is found. ICE balances the energy consumptions among LBSs, enables more users to be served with green energy, and therefore reduces the on-grid energy consumption.

引用

页码：866 / 869

页数：4

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