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Cognitive Radio provides a paradigm to enable an efficient and performing use of spectrum resources. Several challenging issues are still to be solved in order to fully exploit the CR potentials. One of these is the development of efficient distributed power allocation methods to be performed by the independent decisional entities of the network. Game Theory, and in particular S-Modular Games, are...
In this paper, we study the distributed multichannel spectrum sharing problem for the cognitive radio networks (CRNs). We are interested in dynamic spectrum sharing schemes that maximize the spectrum utilization of the cognitive network while appropriately protecting primary users. Existence and optimality of the Nash Equilibrium (N.E.) are investigated. Distributed Multichannel Spectrum Sharing (MCSS)...
Game theory is a useful tool that can be used to study the distributed resource allocation problem, since each node in the network tries to maximize his own payoff and hence a need to resolve their conflicting interests. In this paper, we introduce utility functions so that the strategy set of each node allows no transmission. We incorporate the effect of interference a node is causing to the surroundings...
In this paper we study an idealized model of load balancing for dynamic spectrum allocation (DSA) for secondary users using only local information. In our model, each agent is assigned to a channel and may reassign its load in a round based fashion. We present a randomized protocol in which the actions of the agents depend purely on some cost measure (e. g., latency, inverse of the throughput, etc...
We propose a novel distributed cross-layer optimization approach for cognitive radio wireless networks. A cognitive radio is a wireless device that is capable of sensing the prevailing environmental conditions and automatically adapting its operating parameters in order to enhance the performance of both the system and potentially the whole network. Given the lack of a centralized intelligence to...
In this work, we formulate the potential game model of joint channel selection and power allocation. First, under the interference constraint, a nonlinear optimization problem is formulated for improving the total throughput and considering the fairness in cognitive radio network. we also define the special objective function for each transmitting node and formulate a potential game to solve this...
The currently available unlicensed spectrum is reaching its limit and various demands for applications and data rates in wireless communications requires additional spectrum which imposes limits on spectrum access. These requirements demand for efficient and intelligent use of spectrum. The system model and the problem of the optimum spectrum allocation in cognitive radios are introduced and formulated...
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