Distributed Energy-Saving Cellular Network Management Using Message-Passing

Sang Hyun Lee, Illsoo Sohn

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


This paper presents a distributed energy-saving management strategy for green cellular networks. During off-peak periods, an energy-saving operation is activated. A subset of base stations (BSs) in the network enters an energy-saving state, i.e., switched-off mode, while satisfying traffic demands without discontinuity of user services. To this end, the remaining operating BSs should compensate for the coverage holes by taking over the responsibility of user service. Such a scenario can be formulated into a combinatorial optimization that maximizes the overall energy savings of the network. To address this computationally demanding task, we develop a distributed algorithm that provides an efficient solution by using a state-of-the-art technique based on a message-passing framework. The simulation results confirm considerable energy-saving gains over previously existing techniques and prove the viability for this strategy for self-organizing green cellular networks.

Original languageEnglish
Article number7422166
Pages (from-to)635-644
Number of pages10
JournalIEEE Transactions on Vehicular Technology
Issue number1
Publication statusPublished - 2017 Jan
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, and Future Planning of the Korean Government under Grant NRF-2015R1C1A1A01052529 and in part by the Basic Science Research Program through the NRF funded by the Ministry of Education under Grant NRF-2015R1D1A1A01057100.

Publisher Copyright:
© 2016 IEEE.


  • Energy-saving management
  • green cellular networks
  • message-passing algorithms

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


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