Optimal channel selection for spectrum-agile low-power wireless packet switched networks in unlicensed band

Authors:
Ali Motamedi;Ahmad Bahai
Affiliations:
Department of Electrical Engineering, Stanford University, University of California at Berkeley and National Semiconductor, Stanford, CA;Department of Electrical Engineering, Stanford University, University of California at Berkeley and National Semiconductor, Stanford, CA
Venue:
EURASIP Journal on Wireless Communications and Networking - Cognitive Radio and Dynamic Spectrum Sharing Systems
Year:
2008

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Abstract

This paper addresses the problem of optimal channel selection for spectrum-agile low-powered wireless networks in unlicensed bands. The channel selection problem is formulated as a multiarmed bandit problem enabling us to derive the optimal selection rules. The model assumptions about the interfering traffic that motivates this formulation are also validated through 802.11 traffic measurements as an example of a packet switched network. Finally, the performance of the optimal dynamic channel selection is investigated through simulation. The simulation results show that the proposed algorithm consistently tracks the best channel compared to other heuristic schemes.