Title
MDP based dynamic base station management for power conservation in self-organizing networks
Abstract
This paper proposes a Markov decision process (MDP) based base station management scheme that dynamically and collectively manages activation of a group of base stations depending on the time-varying traffic demand for power conservation in self-organization networks. Our MDP model is unique in a sense that it accurately captures the dynamics of handover traffic among neighboring cells, and it formulates infeasible actions as constraints in a constrained optimization problem. Simulation results confirm that the proposed scheme can significantly reduce power consumption: 55% of daily power savings, upto 73% of power savings during low traffic periods, and the minimum 23% of power savings even during high traffic periods. Our MDP algorithms find desired optimal policies to deactivate unnecessary base stations without sacrificing network performances.
Year
DOI
Venue
2014
10.1109/WCNC.2014.6952722
WCNC
Keywords
Field
DocType
optimisation,self-organizing network,power saving,markov decision process based base station management scheme,power conservation,green wireless network,energy conservation,mobility management (mobile radio),telecommunication power management,handover traffic,radio networks,energy efficiency,optimization problem,mdp based dynamic base station management,markov decision process,telecommunication traffic,time-varying traffic demand,markov processes,power consumption reduction,base stations,mobile computing,optimization,self organizing network,wireless networks,mobile communication,mathematical model
Mobile computing,Wireless network,Base station,Computer science,Computer network,Markov decision process,Self-organizing network,Handover,Mobile telephony,Power consumption
Conference
ISSN
Citations 
PageRank 
1525-3511
1
0.37
References 
Authors
0
5
Name
Order
Citations
PageRank
Junhyuk Kim142.51
Peng Yong Kong213318.92
Nah-Oak Song335730.76
June-Koo Kevin Rhee44810.35
Saleh Al-Araji510.37