Dynamic spectrum access with learning for cognitive radio

Jayakrishnan Unnikrishnan, Venugopal Varadachari Veeravalli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We study the problem of cooperative dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). Assuming Markovian state-evolutions for the primary channels, we propose a greedy channel selection and access policy that satisfies an interference constraint and also outperforms some existing schemes in average throughput. When the distribution of the signal from the primary is unknown and belongs to a parameterized family, we develop an algorithm that can learn the parameter of the distribution still guaranteeing the interference constraint. This algorithm also outperforms the popular approach that assumes a worst-case value for the parameter thus illustrating the suboptimality of the popular worst-case approach.

Original languageEnglish (US)
Title of host publication2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages103-107
Number of pages5
DOIs
StatePublished - Dec 1 2008
Event2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States
Duration: Oct 26 2008Oct 29 2008

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
CountryUnited States
CityPacific Grove, CA
Period10/26/0810/29/08

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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