Distributed spectrum management in TV White Space Cognitive Radio Networks

Jocelyne Elias, Marwan Krunz

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

3 Scopus citations

Abstract

In this paper, we investigate the spectrum management problem in TV White Space (TVWS) Cognitive Radio Networks using a game theoretical approach, accounting for adjacent-channel interference. TV Bands Devices (TVBDs) compete to access available TV channels and choose idle blocks that optimize some objective function. Specifically, the goal of each TVBD is to minimize the price paid to the Database operator and a cost function that depends on the interference between unlicensed devices. We show that the proposed TVWS management game admits a potential function under general conditions. Accordingly, we use a Best Response algorithm to converge in few iterations to the Nash Equilibrium (NE) points. We evaluate the performance of the proposed game, considering both static and dynamic TVWS scenarios and taking into account users' mobility. Our results show that at the NE, the game provides an interesting tradeoff between efficient TV spectrum use and reduction of interference between TVBDs.

Original languageEnglish (US)
Title of host publicationProceedings of 2015 14th IFIP Networking Conference, IFIP Networking 2015
EditorsZoubir Mammeri, Rahim Kacimi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783901882685
DOIs
StatePublished - Jun 30 2015
Event2015 14th IFIP Networking Conference, IFIP Networking 2015 - Toulouse, France
Duration: May 20 2015May 22 2015

Publication series

NameProceedings of 2015 14th IFIP Networking Conference, IFIP Networking 2015

Other

Other2015 14th IFIP Networking Conference, IFIP Networking 2015
Country/TerritoryFrance
CityToulouse
Period5/20/155/22/15

Keywords

  • Database
  • Game theory
  • Guard bands
  • Nash equilibrium
  • Spectrum management
  • TV White Space
  • TV bands devices

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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