MDP based dynamic base station management for power conservation in self-organizing networks

Junhyuk Kim, Peng Yong Kong, Nah Oak Song, June Koo Kevin Rhee, Saleh Al-Araji

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

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.

Original languageBritish English
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2384-2389
Number of pages6
ISBN (Electronic)9781479930838
DOIs
StatePublished - 3 Apr 2016
Event2014 IEEE Wireless Communications and Networking Conference, WCNC 2014 - Istanbul, Turkey
Duration: 6 Apr 20149 Apr 2014

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2014 IEEE Wireless Communications and Networking Conference, WCNC 2014
Country/TerritoryTurkey
CityIstanbul
Period6/04/149/04/14

Keywords

  • Energy efficiency
  • Green wireless network
  • Markov decision process
  • Self-organizing network

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