Algorithms for Dynamic Spectrum Access With Learning for Cognitive Radio

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 primary (licensed) channels whose occupancies follow a Markovian evolution. We first...

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Veröffentlicht in:	IEEE transactions on signal processing 2010-02, Vol.58 (2), p.750-760
Hauptverfasser:	Unnikrishnan, J., Veeravalli, V.V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithms Applied sciences Channel selection Channels Cognitive radio Control systems dynamic spectrum access Dynamical systems Dynamics Exact sciences and technology Heuristic algorithms Information, signal and communications theory Interference constraints Learning Markov analysis Miscellaneous Monitoring Parametric statistics partially observed Markov decision process (POMDP) Performance analysis Policies Radio Signal processing Statistical distributions Studies Telecommunications and information theory Upper bound Upper bounds
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