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The following topics are dealt with: intelligent platform networks; adaptive learning algorithms; cognitive radio; spectrum sensing and management; signal estimation and tracking; Bayesian machine learning; cognitive radar processing; waveform agile intelligent adaptive sensor signal processing; collaborative sensing techniques; learning theory and modelling; and game theoretic tools for cognitive...
We provide an overview of the research activities related to game theoretical analysis of cognitive radio networks in Network Communications and Economics Lab (NCEL) at the Chinese University of Hong Kong. Our focus is to study how distributed and strategic users and networks interact in various new networking and business scenarios enabled by the cognitive radio technology. We will summarize the...
In this paper we propose a game theoretic approach to the allocation of channels to multiple cognitive users who share a set of frequencies. The famous Gale-Shapley stable matching algorithm is utilized to compute the channel allocations. We analyze the stable matching performance for the case of cognitive resource allocation and prove that in contrast to the general case, in the cognitive resource...
The paper considers a new method of the Quality of Service (QoS) assurance in opportunistic access to wireless networks using a game theoretic-framework. The perfect full information of the involved links is made known to the central management unit called spectrum broker. Three algorithms of spectrum sharing are proposed. In each algorithm, Cournot oligopoly competition or monopolistic behaviour...
We consider a network of cognitive radios (CRs) where each CR obtains noisy multivariate measurements of the quality of several logical channels and needs to decide which channel to access. Assuming the CRs are rational devices, each CR determines which channel to access, based on its expected throughput and Bayesian estimate of the intention of other CRs. We formulate conditions for which the Bayesian...
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