NDLI: Opportunistic medium access in multi-channel wireless systems: A learning approach

Content Provider	IEEE Xplore Digital Library
Author	Kasbekar, G. Proutiere, A.
Copyright Year	2010
Description	Author affiliation: University of Pennsylvania, USA (Kasbekar, G.) \|\| Microsoft Research, Cambridge, UK (Proutiere, A.)
Abstract	Dynamic channel selection is an important component of multi-channel wireless systems. It allows a transmitter to identify the channel offering the best radio conditions and to avoid interference created by other transmitters. In absence of interference, the channel selection problem can be simply interpreted as a Multi-Armed Bandit problem for which low-regret learning algorithms such as Exp3 have been developed. With interference, the problem is complicated by the fact that transmitters interact, and that a given transmitter experiencing a transmission failure cannot identify whether the failure is due to a channel error or to interference. In this paper, we analyze the dynamics of a system where transmitters independently run the learning algorithm Exp3 to select channels for their successive transmissions. We show that the system converges to a pure Nash Equilibrium of the corresponding game.
Starting Page	1288
Ending Page	1294
File Size	571343
Page Count	7
File Format	PDF
ISBN	9781424482153
e-ISBN	9781424482160
DOI	10.1109/ALLERTON.2010.5707062
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless communication Heuristic algorithms Radio transmitters Games Interference Eigenvalues and eigenfunctions Convergence
Content Type	Text
Resource Type	Article

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