Energy-saving Resource Allocation by Exploiting the Context Information
Abstract
Improving energy efficiency of wireless systems by exploiting the context information has received attention recently as the smart phone market keeps expanding. In this paper, we devise energy-saving resource allocation policy for multiple base stations serving non-real-time traffic by exploiting three levels of context information, where the background traffic is assumed to occupy partial resources. Based on the solution from a total energy minimization problem with perfect future information,a context-aware BS sleeping, scheduling and power allocation policy is proposed by estimating the required future information with three levels of context information. Simulation results show that our policy provides significant gains over those without exploiting any context information. Moreover, it is seen that different levels of context information play different roles in saving energy and reducing outage in transmission.
Cite
@article{arxiv.1507.01780,
title = {Energy-saving Resource Allocation by Exploiting the Context Information},
author = {Chuting Yao and Chenyang Yang and Zixiang Xiong},
journal= {arXiv preprint arXiv:1507.01780},
year = {2016}
}
Comments
To be presented at IEEE PIMRC 2015, Hong Kong. This work was supported by National Natural Science Foundation of China under Grant 61120106002 and National Basic Research Program of China under Grant 2012CB316003