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In this paper we present an approach based on game-theoretical mechanism design for dynamic spectrum allocation in cognitive radio networks. Secondary users (SU) detect when channels can be used without disrupting any primary user and try to use them opportunistically. When an SU detects a free channel, it estimates its capacity and sends the valuation of it to a central manager. The manager calculates...
In cognitive radio networks, there are scenarios where secondary users (SUs) utilize opportunistically the spectrum originally allocated to primary users (PUs). The spectrum resources available to SUs fluctuates over time due to PUs activity, SUs mobility and competition between SUs. In order to utilize these resources efficiently spectrum sharing techniques need to be implemented. In this paper we...
We model a cognitive radio system as a quasi-birth-death (QBD) process and determine its performance parameters. We also model the system at the quasi-stationary limiting regime. We show that this regime defines the asymptotic system behavior. The performance parameters of interest at this regime are independent of the service time distributions and can be determined by simple recursions. We propose...
The paper deals specifically with spectrum leasing within cognitive radio networks and it covers the economic issues that arise when primary users lease spectrum to secondary users. It aims at assessing which benefit mobile users get from the entry of secondary operators in the market. A game theory-based model is built for the case of an incumbent primary operator and an entrant secondary operator.
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