Dynamic spectrum access policies for cognitive radio

Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli

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


We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperatively tries to exploit vacancies in some primary (licensed) channels whose occupancies have a Markovian evolution. We first consider the scenario where the cognitive users are aware of the distribution of the signals they receive from the primary users and we obtain a greedy channel selection and access policy that maximizes the instantaneous reward, while satisfying a constraint on the probability of interfering with licensed transmissions. We also derive an analytical universal upper bound on the performance of the optimal policy. We then consider the more practical scenario where the distribution of the signal from the primary is characterized by an unknown random parameter. We develop an algorithm that can learn this random parameter, still guaranteeing the constraint on the interference probability. We also demonstrate the performance gains of all our schemes through simulations.

Original languageEnglish (US)
Title of host publicationProceedings of the 47th IEEE Conference on Decision and Control, CDC 2008
Number of pages6
StatePublished - Dec 1 2008
Event47th IEEE Conference on Decision and Control, CDC 2008 - Cancun, Mexico
Duration: Dec 9 2008Dec 11 2008

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216


Other47th IEEE Conference on Decision and Control, CDC 2008

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization


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