Evolutionary radio resource management in distributed femtocell networks

Shangjing Lin, Wei Ni, Hui Tian, Ren Ping Liu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

2 Citations (Scopus)

Abstract

Femtocells are an integrating part of future cellular systems, where radio resource management is a challenge due to unbalanced backhaul delays and the hotspot nature of femtocells. We propose a new game theoretic framework, where the channel allocation and transmit powers evolve in a distributed manner, adapting to femtocells' topology and traffic demands. The key idea is to cast femtocells' clustering as an evolutionary game, where the femtocells independently switch to less interfered clusters. Within each cluster, we design a non-cooperative game to implement power control in the absence of centralized coordination. Simulations show that our approach is effective for timely interference mitigation and reliable topology management. The stability and scalability of our approach are also demonstrated.

Original languageEnglish
Title of host publicationICT 2015
Subtitle of host publication22nd International Conference on Telecommunications : proceedings
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages168-173
Number of pages6
ISBN (Electronic)9781479980789
ISBN (Print)9781479980796
DOIs
Publication statusPublished - 16 Jun 2015
Externally publishedYes
Event2015 22nd International Conference on Telecommunications, ICT 2015 - Sydney, Australia
Duration: 27 Apr 201529 Apr 2015

Other

Other2015 22nd International Conference on Telecommunications, ICT 2015
CountryAustralia
CitySydney
Period27/04/1529/04/15

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Keywords

  • Femtocell
  • game theory
  • radio resource management (RRM)

Cite this

Lin, S., Ni, W., Tian, H., & Liu, R. P. (2015). Evolutionary radio resource management in distributed femtocell networks. In ICT 2015: 22nd International Conference on Telecommunications : proceedings (pp. 168-173). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICT.2015.7124677