期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：5
DOI：10.15680/ijircce.2015.0305017
出版社：S&S Publications
摘要：The explosive popularity of smart phones and tablets has ignited a surging traffic load demand for radioaccess and there has been massive energy consumption. .The reason behind is this largely due to that the present BSdeployment on the basis of peak traffic loads and generally stays active irrespective of the heavily dynamic traffic loadvariations. There is a need to reduce energy consumption at BS. In this project using TACT (Transfer Actor-CriticLearning Algorithm), developed base station switching operations to match up with traffic load variations. This schemeis designed to minimize the energy consumption of Radio Access Networks (RAN). Ultimate aim is to reduce theenergy consumption with traffic load variations in radio access networks. Markov decision process and testing resultsare presented in this project.
关键词：Markov Decision Process; cellular networks; Transfer Critic learning algorithm.
