Stefano Iellamo

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In this paper, we tackle the problem of opportunistic spectrum access in large-scale cognitive radio networks,<lb>where the unlicensed Secondary Users (SU) access the frequency channels partially occupied by the licensed<lb>Primary Users (PU). Each channel is characterized by an availability probability unknown to the SUs. We apply<lb>evolutionary game(More)
Extensive research in recent years has shown the benefits of cognitive radio technologies to improve the flexibility and efficiency of spectrum utilization. This new communication paradigm, however, requires a well-designed spectrum allocation mechanism. In this paper, we propose an auction framework for cognitive radio networks to allow unlicensed(More)
<lb>In this paper, we tackle the problem of opportunistic spectrum access in large-<lb>scale cognitive radio networks, where the unlicensed Secondary Users (SU) ac-<lb>cess the frequency channels partially occupied by the licensed Primary Users<lb>(PU). Each channel is characterized by an availability probability unknown to<lb>the SUs. We apply population(More)
In this paper, we tackle the problem of opportunistic spectrum access in cognitive radio networks where a number of unlicensed Secondary Users (SU) operating on the standard CSMA/CA protocol access a number of frequency channels partially occupied by licensed Primary Users (PU). We apply evolutionary game theory to model the spectrum access problem and(More)
Decentralized cognitive radio networks (CRN) require efficient channel access protocols to enable cognitive secondary users (SUs) to access the primary channels in an opportunistic way without any coordination. In this paper, we develop a distributed retrospective spectrum access protocol that can orient the network towards a socially efficient and fair(More)
Extensive research in recent years has shown the benefits of cognitive radio technologies to improve the flexibility and efficiency of spectrum utilization. This new communication paradigm, however, requires a welldesigned spectrum allocation mechanism. In this paper, we propose an auction framework for cognitive radio networks to allow unlicensed secondary(More)
In this paper, we tackle the problem of opportunistic spectrum access in cognitive radio networks. We consider a large number of unlicensed Secondary Users (SU) accessing a number of frequency channels partially occupied by licensed Primary Users (PU). Each channel is characterized by an unknown availability probability. We apply evolutionary game theory to(More)