A Spectrum Sensing Algorithm for White Spaces Detection Validated in Real Environments

Irati Lázaro; Maurizio Murroni; Iratxe Redondo; Mikel Sánchez; Manuel Vélez

Mobile Multimedia Communications. 7th International ICST Conference, MOBIMEDIA 2011, Cagliari, Italy, September 5-7, 2011, Revised Selected Papers

Research Article

A Spectrum Sensing Algorithm for White Spaces Detection Validated in Real Environments

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@INPROCEEDINGS{10.1007/978-3-642-30419-4_7,
    author={Irati L\^{a}zaro and Maurizio Murroni and Iratxe Redondo and Mikel S\^{a}nchez and Manuel V\^{e}lez},
    title={A Spectrum Sensing Algorithm for White Spaces Detection Validated in Real Environments},
    proceedings={Mobile Multimedia Communications. 7th International ICST Conference, MOBIMEDIA 2011, Cagliari, Italy, September 5-7, 2011, Revised Selected Papers},
    proceedings_a={MOBIMEDIA},
    year={2012},
    month={5},
    keywords={Energy detection Spectrum Sensing Cognitive Radio},
    doi={10.1007/978-3-642-30419-4_7}
}

Irati Lázaro
Maurizio Murroni
Iratxe Redondo
Mikel Sánchez
Manuel Vélez
Year: 2012
A Spectrum Sensing Algorithm for White Spaces Detection Validated in Real Environments
MOBIMEDIA
Springer
DOI: 10.1007/978-3-642-30419-4_7

Irati Lázaro¹^,*, Maurizio Murroni¹^,*, Iratxe Redondo¹^,*, Mikel Sánchez¹^,*, Manuel Vélez¹^,*

1: Escuela Técnica Superior de Ingeniería de Bilbao

*Contact email: ilazaro006@ikasle.ehu.es, murroni@diee.unica.it, iredondo010@ikasle.ehu.es, mikel.sanchez@tecnalia.com, manuel.velez@ehu.es

Abstract

Cognitive Radio Systems have been proposed as the solution to spectrum scarcity, and Spectrum Sensing a good way to detect which frequencies are being used by primary users and avoid interferences. When primary signals are unknown, energy detection is the best while easiest technique for the sensing process. In this paper, we consider energy detection based spectrum sensing for narrowband signals in the TV wideband. Simulations are performed to obtain ROC curves. Designed detector has been validated both with signals generated in the laboratory and with real signals captured from the radio space.

Keywords: Energy detection Spectrum Sensing Cognitive Radio

Published: 2012-05-29

: http://dx.doi.org/10.1007/978-3-642-30419-4_7