Introduction to Stochastic Search and Optimization
Introduction to Stochastic Search and Optimization
Decentralized Activation in Dense Sensor Networks via Global Games
IEEE Transactions on Signal Processing - Part I
Opportunistic scheduling for streaming multimedia users in high-speed downlink packet access (HSDPA)
IEEE Transactions on Multimedia
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Opportunistic transmission scheduling with resource-sharing constraints in wireless networks
IEEE Journal on Selected Areas in Communications
Optimal threshold policies for multivariate POMDPs in radar resource management
IEEE Transactions on Signal Processing
Decentralized activation in sensor networks - global games and adaptive filtering games
Digital Signal Processing
Wireless Personal Communications: An International Journal
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This paper studies decentralized dynamic spectrum access using the theory of multivariate global games. 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 Nash equilibrium (BNE) of the resulting global game is monotonically increasing in the quality of the logical channel. This leads to a simple characterization of the competitive optimal behavior of the system as a function of the prior probability distribution of spectrum hole occupancy, channel quality and observation noise. In obtaining the characterization of the BNE, we extend recent results in univariate global games to the multivariate case.