Game theoretic approach for smallcell resource management

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

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

Abstract

Smallcells can provide high-quality radio coverage in indoor environment. However, resource management and interference mitigation are key challenges, resulting from the heterogeneous backhaul and the uncoordinated nature of smallcells. We propose a new game theoretic approach, where the transmit power of smallcells evolve in a distributed manner, adapting to traffic demands and mitigating interference. The key idea is to formulate smallcells' clustering as an evolutionary game, where the smallcells independently switch to less interfered clusters. At every evolutionary stage, a non-cooperative game is cast to balance the transmit powers within each cluster. Limited signalling is exchanged between the clusters, adjusting future evolution. Compared to the prior art, simulations show that our approach can improve the network throughput by 10.2%.

Original languageEnglish
Title of host publicationGC Wkshps 2015
Subtitle of host publicationProceedings of 2015 IEEE Globecom Workshops
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781467395267
DOIs
Publication statusPublished - 2015
Externally publishedYes
EventIEEE Globecom Workshops, GC Wkshps 2015 - San Diego, United States
Duration: 6 Dec 201510 Dec 2015

Other

OtherIEEE Globecom Workshops, GC Wkshps 2015
CountryUnited States
CitySan Diego
Period6/12/1510/12/15

Keywords

  • Distributed interference management
  • Game theory
  • Radio resource management
  • Smallcells

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