Traffic-aware dynamic spectrum access

  • Authors:
  • Lei Yang;Lili Cao;Heather Zheng;Elizabeth Belding

  • Affiliations:
  • University of California, Santa Barbara, CA;University of California, Santa Barbara, CA;University of California, Santa Barbara, CA;University of California, Santa Barbara, CA

  • Venue:
  • Proceedings of the 4th Annual International Conference on Wireless Internet
  • Year:
  • 2008

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Abstract

Demand-driven spectrum allocation can drastically improve performance for WiFi access points struggling under increasing user demands. While their frequency agility makes cognitive radios ideal for this challenge, performing adaptive spectrum allocation is a complex and difficult process. In this work, we propose FLEX, an efficient spectrum allocation architecture that efficiently adapts to dynamic traffic demands. FLEX tunes network-wide spectrum allocation by access points coordinating with peers, minimizing network resets through local adaptations. Through detailed analysis and experimental evaluation, we show that FLEX converges quickly, provides users with proportional-fair spectrum usage and significantly outperforms existing spectrum allocation proposals.