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We investigate the problem of distributed channel selection using a game-theoretic stochastic learning solution in an opportunistic spectrum access (OSA) system where the channel availability statistics and the number of the secondary users are apriori unknown. We formulate the channel selection problem as a game which is proved to be an exact potential(More)
We investigate the problem of achieving global optimization for distributed channel selections in cognitive radio networks (CRNs), using game theoretic solutions. To cope with the lack of centralized control and local influences, we propose two special cases of local interaction game to study this problem. The first is local altruistic game, in which each(More)
Current research on Internet of Things (IoT) mainly focuses on how to enable general objects to see, hear, and smell the physical world for themselves, and make them connected to share the observations. In this paper, we argue that only connected is not enough, beyond that, general objects should have the capability to learn, think, and understand both(More)
This article investigates the problem of distributed channel selection in opportunistic spectrum access (OSA) networks with partially overlapping channels (POC) using a gametheoretic learning algorithm. Compared with traditional nonoverlapping channels (NOC), POC can increase the full-range spectrum utilization, mitigate interference and improve the network(More)
Abstract. First of all, we impose matrix transform on the state vector of the master and slave systems, the master and slave systems could be synchronized under the transform, this case would be called hybrid synchronization in this paper. Secondly, we investigate adaptive hybrid synchronization of the complex dynamical network with nonderivative and(More)
This article investigates the problem of distributed channel selection for opportunistic spectrum access systems, where multiple cognitive radio (CR) users are spatially located and mutual interference only emerges between neighboring users. In addition, there is no information exchange among CR users. We first propose a MAC-layer interference minimization(More)
In a recent paper (B. Babadi and V. Tarokh, “GADIA: A greedy asynchronous distributed interference avoidance algorithm”, IEEE Trans. Inf. Theory, vol. 56, no. 12, pp. 62286252, 2010), two asynchronous distributed spectrum allocation algorithms, called the basic GADIA and the soft GADIA respectively, were proposed to solve the problem of interference(More)