Retrospective Spectrum Access Protocol: A Payoff-based Learning Algorithm for Cognitive Radio Networks

Provided by: CNRS
Topic: Mobility
Format: PDF
Decentralized Cognitive Radio Networks (CRNs) require efficient channel access protocols to enable cognitive Secondary Users (SUs) to access the primary channels in an opportunistic way without any coordination. In this paper, the authors develop a distributed retrospective spectrum access protocol that can orient the network towards a socially efficient and fair equilibrium state. With the developed protocol, each SU j chooses a channel to select based on the experienced payoff in past Hj periods. Each SU is thus supposed to be equipped with bounded memory and should make its decision based on only local observations.

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