The Complexity of Optimal Queuing Network Control
Mathematics of Operations Research
Optimality of myopic sensing in multichannel opportunistic access
IEEE Transactions on Information Theory
Optimal Transmission Strategies for Dynamic Spectrum Access in Cognitive Radio Networks
IEEE Transactions on Mobile Computing
Opportunistic spectrum access in self-similar primary traffic
EURASIP Journal on Advances in Signal Processing - Special issue on dynamic spectrum access for wireless networking
Algorithms for dynamic spectrum access with learning for cognitive radio
IEEE Transactions on Signal Processing
Opportunistic Spectrum Access via Periodic Channel Sensing
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
On myopic sensing for multi-channel opportunistic access: structure, optimality, and performance
IEEE Transactions on Wireless Communications - Part 2
IEEE Transactions on Information Theory
Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Information Theory
Dynamic channel, rate selection and scheduling for white spaces
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
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A restless multi-armed bandit problem that arises in multichannel opportunistic communications is considered, where channels are modeled as independent and identical Gilbert-Elliot channels and channel state detection is subject to errors. A simple structure of the myopic policy is established under a certain condition on the false alarm probability of the channel state detector. It is shown that myopic actions can be obtained by maintaining a simple channel ordering without knowing the underlying Markovian model. The optimality of the myopic policy is proved for the case of two channels and conjectured for general cases. Lower and upper bounds on the performance of the myopic policy are obtained in closed-form, which characterize the scaling behavior of the achievable throughput of the multichannel opportunistic system. The approximation factor of the myopic policy is also analyzed to bound its worst-case performance loss with respect to the optimal performance.