Distributed resource and service management for large-scale dynamic spectrum access systems through coordinated learning

M. Noroozoliaee*, B. Hamdaoui

*Corresponding author for this work

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

6 Citations (Scopus)

Abstract

We develop resource and service management techniques to support spectrum users (SUs) with quality of service requirements in large-scale distributed dynamic spectrum access (DSA) systems. The proposed techniques empower SUs to seek and exploit spectrum opportunities dynamically and effectively, thereby maximizing the long-term service satisfaction levels that SUs receive from accessing and using the DSA system. Our techniques are efficient in terms of optimality, scalability, distributivity, and fairness. First, they enable SUs to achieve high service satisfaction levels by quickly locating and accessing available spectrum opportunities. Second, they are scalable by performing well in systems with small as well as large numbers of SUs. Third, they can be implemented in a decentralized manner by relying on local information only. Finally, they ensure fairness among SUs by allowing them to receive equal amounts of service.

Original languageEnglish
Title of host publicationIWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference
Pages522-527
Number of pages6
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011 - Istanbul, Turkey
Duration: 4 Jul 20118 Jul 2011

Publication series

NameIWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference

Conference

Conference7th International Wireless Communications and Mobile Computing Conference, IWCMC 2011
Country/TerritoryTurkey
CityIstanbul
Period4/07/118/07/11

Keywords

  • cognitive networks
  • Distributed resource allocation
  • dynamic spectrum access
  • management techniques

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