@inproceedings{37bf62dd9724442783021d67602f489e,
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.",
keywords = "Energy efficiency, Green wireless network, Markov decision process, Self-organizing network",
author = "Junhyuk Kim and Kong, {Peng Yong} and Song, {Nah Oak} and Rhee, {June Koo Kevin} and Saleh Al-Araji",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 ; Conference date: 06-04-2014 Through 09-04-2014",
year = "2016",
month = apr,
day = "3",
doi = "10.1109/WCNC.2014.6952722",
language = "British English",
series = "IEEE Wireless Communications and Networking Conference, WCNC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2384--2389",
booktitle = "IEEE Wireless Communications and Networking Conference, WCNC",
address = "United States",
}