On the performance of cognitive access with periodic spectrum sensing
Proceedings of the 2009 ACM workshop on Cognitive radio networks
Piecewise linear dynamic programming for constrained POMDPs
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Estimation of maximum interference-free power level for opportunistic spectrum access
IEEE Transactions on Wireless Communications
A channel allocation algorithm for OSA-enabled IEEE 802.11 WLANs
ISWCS'09 Proceedings of the 6th international conference on Symposium on Wireless Communication Systems
Opportunistic spectrum access in self-similar primary traffic
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Distributed power control for cognitive user access based on primary link control feedback
INFOCOM'10 Proceedings of the 29th conference on Information communications
Steady-state Markov chain analysis for heterogeneous cognitive radio networks
Sarnoff'10 Proceedings of the 33rd IEEE conference on Sarnoff
Priority-based spectrum allocation for cognitive radio networks employing NC-OFDM transmission
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Non-cooperative spectrum access: the dedicated vs. free spectrum choice
MobiHoc '11 Proceedings of the Twelfth ACM International Symposium on Mobile Ad Hoc Networking and Computing
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Built on a hierarchical access structure with primary and secondary users, opportunistic spectrum access improves spectrum efficiency while maintaining compatibility with legacy wireless systems. The basic idea is to allow secondary users to exploit instantaneous spectrum availability while limiting the interference to primary users. In this article, we identify basic components, fundamental trade-offs, and practical constraints in opportunistic spectrum access. We introduce a decision-theoretic framework based on the theory of partially observable Markov decision processes. This framework allows us to systematically tackle the optimal integrated design and quantitatively characterize the interaction between signal processing for opportunity identification and networking for opportunity exploitation. A discussion of open problems, potential applications, and recent developments is also provided.