NDLI: A game-theoretic spectrum allocation framework for mixed unicast and broadcast traffic profile in cognitive radio networks

Content Provider	IEEE Xplore Digital Library
Author	Farooq, M.J. Hussain, M. Qadir, J. Baig, A.
Copyright Year	2013
Description	Author affiliation: Cognet Lab., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan (Farooq, M.J.; Hussain, M.; Qadir, J.; Baig, A.)
Abstract	In this paper, we present a game theoretic framework for spectrum allocation in distributed cognitive radio networks containing both unicast and broadcast traffic. Our proposed scheme aims to minimize broadcast latency for broadcast traffic and minimize interference and access contention for both types of traffic. We develop a utility function that ensures that both objectives are met yielding a higher network throughput. Our proposed spectrum allocation game is also formulated as a potential game and is guaranteed to converge to a Nash equilibrium if the sequential best response dynamics is followed. A proof of concept of the proposed algorithm has been implemented on the Orbit radio testbed and the results verify the convergence of the potential game. Our simulation and experimental results also reveal that the choice of utility function improves the average network throughput for a mixed traffic profile.
Starting Page	425
Ending Page	432
File Size	1582051
Page Count	8
File Format	PDF
ISSN	07421303
e-ISBN	9781479905379
DOI	10.1109/LCN.2013.6761275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-21
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Games Unicast Heuristic algorithms Channel allocation Resource management Nash equilibrium Nash Equilibrium (NE) Broadcast Traffic Spectrum Assignment Cognitive Radio Networks Unicast Traffic Game Theory
Content Type	Text
Resource Type	Article

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