Modular IPM strategy for energy conservation in densely deployed networks

Kyounghye Kim, Nah Oak Song, Junhyuk Kim, June Koo Kevin Rhee, Peng Yong Kong

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

1 Scopus citations

Abstract

We consider a 5G small cell model where the cells are deployed in a way to cover users in the neighbor cells in order to introduce cell active-sleep control, so-called inter-cell power management (IPM). Using a Markov decision process (MDP), one can obtain an optimal policy for IPM, but with limited scalability. This paper proposes a modular IPM strategy which is a suboptimal policy to group only a few neighbor cells. The modular IPM strategy can mitigate the computational complexity of MDP while it achieves a near-optimal solution to save the energy usage in small cells. It is verified to be a feasible solution through the memory usage estimation and simulation study. The modular IPM strategy with fine-step quantized states can save even more power than the non-modular strategy with coarse-step quantized states. Consequently, the proposed modular IPM strategy becomes much favored in the base station management for power saving in a large small-cell cluster.

Original languageBritish English
Title of host publication2015 IEEE International Conference on Communication Workshop, ICCW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-178
Number of pages6
ISBN (Electronic)9781467363051
DOIs
StatePublished - 8 Sep 2015
EventIEEE International Conference on Communication Workshop, ICCW 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Publication series

Name2015 IEEE International Conference on Communication Workshop, ICCW 2015

Conference

ConferenceIEEE International Conference on Communication Workshop, ICCW 2015
Country/TerritoryUnited Kingdom
CityLondon
Period8/06/1512/06/15

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