Call For Paper Volume:4 Issue:8 Aug'2017 |

Reduced energy consumption for cellular networks using TACT with Fading Detection

Publication Date : 28/02/2015



Author(s) :

selvalakshmi.B , R.Ilayaraja , R.saranya.


Volume/Issue :
Volume 2
,
Issue 2
(02 - 2015)



Abstract :

Recent works have valid the possibility of increase the energy efficiency in radio access networks (RANs), done by dynamically turning on/off some base stations (BSs). in keeping with this paper, to increase the analysis over Base Stations change operations that have to be compelled to match up with traffic load variations. . we\'ve an inclination to initial of all formulate the traffic variations as a markov decision method. then minimize the energy consumption of RANs, and to style a reinforcement learning framework based totally BSs change operation theme. What is more, to hurry up the continued learning methodology, a transfer actor-critic algorithm (TACT), that utilizes the transferred learning expertise in historical periods or near regions, is planned and provably converges. The planned thoughtfulness algorithm contributes to a performance jumpstart and demonstrates the practicable ness of nice energy efficiency improvement at the expense of tolerable delay performance.


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Reduced energy consumption for cellular networks using TACT with Fading Detection

February 27, 2015