NDLI: Price-Based Spectrum Management in Cognitive Radio Networks

Content Provider	IEEE Xplore Digital Library
Author	Wang, Fan Krunz, Marwan Cui, Shuguang
Copyright Year	2007
Description	Author affiliation: Department of Electrical & Computer Engineering, University of Arizona, Tucson, AZ 85721, E-mail: krunz@ece.arizona.edu (Krunz, Marwan) \|\| Department of Electrical & Computer Engineering, University of Arizona, Tucson, AZ 85721, E-mail: wangfan@ece.arizona.edu (Wang, Fan) \|\| Department of Electrical & Computer Engineering, University of Arizona, Tucson, AZ 85721, E-mail: cui@ece.arizona.edu (Cui, Shuguang)
Abstract	A key challenge in operating cognitive radios (CRs) in a self-organizing (ad hoc) network is how to adaptively and efficiently allocate transmission powers and spectrum among CRs according to the surrounding environment. Most previous works address this issue via heuristic approaches or using centralized solutions. In this paper, we present a novel joint power/channel allocation scheme that uses a distributed pricing strategy to improve the network's performance. In this scheme, the spectrum allocation problem is modelled as a non-cooperative game. A price-based iterative water-filling (PIWF) algorithm is proposed, which allows users to converge to the Nash Equilibrium (NE). This PIWF algorithm can be implemented distributively with CRs repeatedly negotiating their best transmission powers and spectrum. Simulation results show that the social optimality of the NE solution is dramatically improved with our price-based strategy. Based on the orders by which CRs take actions, we study sequential and parallel versions of the algorithm. We show that the parallel version converges faster than the sequential version.
Starting Page	70
Ending Page	78
File Size	3984026
Page Count	9
File Format	PDF
ISBN	9781424408146
DOI	10.1109/CROWNCOM.2007.4549775
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System performance Pricing Chromium Nash equilibrium Iterative algorithms Ad hoc networks Interference channels Cognitive radio Sliding mode control Radio spectrum management
Content Type	Text
Resource Type	Article

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