Performance of distributed dynamic frequency selection schemes for interference reducing networks

  • Authors:
  • James O. Neel;Jeffrey H. Reed

  • Affiliations:
  • Wireless @ Virginia Tech, Blacksburg, VA;Wireless @ Virginia Tech, Blacksburg, VA

  • Venue:
  • MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
  • Year:
  • 2006

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Abstract

One of the more commonly envisioned algorithms for cognitive radios is spectrum filling via dynamic frequency selection. Applying the cognitive radio design framework proposed in [1], we formalize a low complexity distributed ad-hoc dynamic frequency sele ction algorithm that converges to near-minimal interference frequency re-use patterns. We then examine the performance of this algorithm in the presences of practical considerations such as intra-network policy variations and timing issues and show that while this leads to situations that violate the framework of [1], the steady-state and convergence properties of the framework are still preserved.