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.
Highlights
Interest in wireless technology has experienced an explosive growth over the last decades
Since the 802.15.1 PHY is based on frequency-hopping spread spectrum (FHSS), an adaptive frequency-hopping scheme is proposed for Bluetooth to avoid the harmful interference of 802.11b networks [2]
We proposed a channel selection strategy that can be used by spectrum-agile users to avoid harmful interference
Summary
Interest in wireless technology has experienced an explosive growth over the last decades. The popular example of this type is the spectrum sharing between 802.15.4 and 802.11 networks operating in the ISM band In this case both networks are unlicensed, due to the difference in their transmission power, if both access the same band at the same time, most likely the packet of 802.15.4 with lower transmission power will be lost while the 802.11 packet will be unaffected. In this case, adding spectrum-agility on top of the 802.15.4 standard could be beneficial by allowing the wireless stations change their operating frequency to avoid destructive interference with 802.11 networks. Simulation results confirm that this optimal strategy consistently tracks the best channel compared to other sensible heuristic methods
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