Distributed learning approach for channel selection in cognitive radio networks

  • Authors:
  • Chowdhury Sayeed Hyder;Li Xiao

  • Affiliations:
  • Michigan State University, East Lansing, Michigan;Michigan State University, East Lansing, Michigan

  • Venue:
  • Proceedings of the Nineteenth International Workshop on Quality of Service
  • Year:
  • 2011

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Abstract

Cognitive Radio Network (CRN) is an emerging networking concept that has been introduced to solve the spectrum scarcity problem. There are typically two kinds of users in CRN - primary users (PU) and secondary users (SU). SUs can opportunistically use licensed channels without interfering with the ongoing transmission of PUs. The successful transmission depends mostly on the selection of idle channels by SUs. Hence, channel selection under the aforementioned constraints is a significant research problem.