RF-Spectrum Opportunities for Cognitive Radio Networks Operating Over GSM Channels

Article English OPEN
Dinis, Rui; Luís, Miguel; Oliveira, Rodolfo; Bernardo, Luis;
(2017)
  • Publisher: IEEE
  • Related identifiers: doi: 10.1109/TCCN.2017.2771558
  • Subject: Radio frequency | Maximum throughput scheduling | Cognitive radio | ANSI escape code | Computer simulation | Throughput

In this paper, we characterize the radio frequency spectrum opportunities available in a common global system for mobile communications (GSM) channel to support the operation of a cognitive radio network (CRN). In a first step, we describe the technical details involved... View more
  • References (29)
    29 references, page 1 of 3

    [1] J. Mitola and G. Q. Maguire, “Cognitive radio: Making software radios more personal,” IEEE Pers. Commun., vol. 6, no. 4, pp. 13-18, Aug. 1999.

    [2] S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220, Feb. 2005.

    [3] S. Hasan et al., “GSM whitespaces: An opportunity for rural cellular service,” in Proc. IEEE Int. Symp. Dyn. Spectrum Access Netw. (DYSPAN), McLean, VA, USA, Apr. 2014, pp. 271-282.

    [4] J. Gao, H. A. Suraweera, M. Shafi, and M. Faulkner, “Channel capacity of a cognitive radio network in GSM uplink band,” in Proc. Int. Symp. Commun. Inf. Technol., Sydney, NSW, Australia, Oct. 2007, pp. 1511-1515.

    [5] A. Carniani, L. Giupponi, and R. Verdone, “Evaluation of spectrum opportunities in the GSM band,” in Proc. Eur. Wireless Conf. (EW), Lucca, Italy, Apr. 2010, pp. 948-954.

    [6] A. H. Chowdhury, Y. Song, and C. Pang, “Accessing the hidden available spectrum in cognitive radio networks under GSM-based primary networks,” in Proc. IEEE Int. Conf. Commun. (ICC), Paris, France, May 2017, pp. 1-6.

    [7] A. Agarwal, A. S. Sengar, R. Gangopadhyay, and S. Debnath, “A real time measurement based spectrum occupancy investigation in northwestern India for cognitive radio applications,” in Proc. Int. Conf. Wireless Commun. Signal Process. Netw. (WiSPNET), Chennai, India, Mar. 2016, pp. 2035-2039.

    [8] L. Mendes, L. Gonçalves, and A. Gameiro, “GSM downlink spectrum occupancy modeling,” in Proc. IEEE 22nd Int. Symp. Pers. Indoor Mobile Radio Commun., Toronto, ON, Canada, Sep. 2011, pp. 546-550.

    [9] A. Palaios et al., “Two days of European spectrum: Preliminary analysis of concurrent spectrum use in seven European sites in GSM and ISM bands,” in Proc. IEEE Int. Conf. Commun. (ICC), Budapest, Hungary, Jun. 2013, pp. 2666-2671.

    [10] M. Wellens, J. Riihijarvi, and P. Mähönen, “Empirical time and frequency domain models of spectrum use,” Phys. Commun., vol. 2, nos. 1-2, pp. 10-32, Mar./Jun. 2009.

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