5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Toward optimal cross-layer solutions for cognitive radio wireless networks

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  • @INPROCEEDINGS{10.4108/ICST.CROWNCOM2010.9243,
        author={Francesco Lo Presti and Chiara Petrioli},
        title={Toward optimal cross-layer solutions for cognitive radio wireless networks},
        proceedings={5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2010},
        month={9},
        keywords={Availability Cognitive radio Markov processes Media Access Protocol Multiaccess communication Sensors},
        doi={10.4108/ICST.CROWNCOM2010.9243}
    }
    
  • Francesco Lo Presti
    Chiara Petrioli
    Year: 2010
    Toward optimal cross-layer solutions for cognitive radio wireless networks
    CROWNCOM
    IEEE
    DOI: 10.4108/ICST.CROWNCOM2010.9243
Francesco Lo Presti1,*, Chiara Petrioli2,*
  • 1: Dipartimento DISP, Università di Roma “Tor Vergata”
  • 2: Dipartimento di Informatica, Università di Roma “La Sapienza”
*Contact email: lopresti@info.uniroma2.it, petrioli@di.uniroma1.it

Abstract

Cognitive radio (CR) networks have been proposed as a viable solution to spectrum scarcity problems. In CR networks, CR nodes exploit spectrum holes in space, time and/or frequency to transmit on licensed frequency bands without affecting primary users. In such a dynamic and unpredictable environment, CR networks require the ability to gather information on the surrounding available spectrum and to exploit this information to maximize CR nodes performance. In a companion paper we deal with sensing architecture and protocols. In this paper, instead, we derive a cross-layer scheme for cognitive radio networks which jointly optimize the sources flow rates, routing and medium access control while accounting for and exploiting the available spectrum resources. The proposed scheme builds on important recent results on close to optimal fully distributed CSMA-based scheduling algorithms, which allows us to derive a fully distributed solution.