Adaptive channel allocation spectrum etiquette for cognitive radio networks

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Abstract

In this work we propose a game theoretic framework to analyze the behavior of cognitive radios for distributed adaptive channel allocation. We define two different objective functions for the spectrum sharing games which capture the utility of selfish users and cooperative users respectively. Based on the utility definition for cooperative users we show that the channel allocation problem can be formulated as a potential game and thus converges to a deterministic channel allocation Nash equilibrium point. Alternatively a no-regret learning implementation is proposed for both scenarios and it is shown to have similar performance with the potential game when cooperation is enforced but with a higher variability across users. The no-regret learning formulation is particularly useful to accommodate selfish users. Non-cooperative learning games have the advantage of a very low overhead for information exchange in the network. We show that cooperation based spectrum sharing etiquette improves the overall network performance at the expense of an increased overhead required for information exchange.

Original languageEnglish
Pages (from-to)779-797
Number of pages19
JournalMobile Networks and Applications
Volume11
Issue number6
DOIs
StatePublished - Dec 2006

Keywords

  • Channel allocation
  • Cognitive radio
  • No-regret learning
  • Potential game

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