Cooperative Spectrum Sensing for Cognitive Radios: Performance Analysis for Realistic System Setups and Channel Conditions

Marco Renzo; Laura Imbriglio; Fabio Graziosi; Fortunato Santucci; Christos Verikoukis

Mobile Lightweight Wireless Systems. First International ICST Conference, MOBILIGHT 2009, Athens, Greece, May 18-20, 2009, Revised Selected Papers

Research Article

Cooperative Spectrum Sensing for Cognitive Radios: Performance Analysis for Realistic System Setups and Channel Conditions

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@INPROCEEDINGS{10.1007/978-3-642-03819-8_13,
    author={Marco Renzo and Laura Imbriglio and Fabio Graziosi and Fortunato Santucci and Christos Verikoukis},
    title={Cooperative Spectrum Sensing for Cognitive Radios: Performance Analysis for Realistic System Setups and Channel Conditions},
    proceedings={Mobile Lightweight Wireless Systems. First International ICST Conference, MOBILIGHT 2009, Athens, Greece, May 18-20, 2009, Revised Selected Papers},
    proceedings_a={MOBILIGHT},
    year={2012},
    month={6},
    keywords={Cognitive Radio Spectrum Sensing Cooperative Communications Correlated Log--Normal Shadowing Performance Analysis},
    doi={10.1007/978-3-642-03819-8_13}
}

Marco Renzo
Laura Imbriglio
Fabio Graziosi
Fortunato Santucci
Christos Verikoukis
Year: 2012
Cooperative Spectrum Sensing for Cognitive Radios: Performance Analysis for Realistic System Setups and Channel Conditions
MOBILIGHT
Springer
DOI: 10.1007/978-3-642-03819-8_13

Marco Renzo¹^,*, Laura Imbriglio²^,*, Fabio Graziosi²^,*, Fortunato Santucci²^,*, Christos Verikoukis¹^,*

1: Telecommunications Technological Center of Catalonia (CTTC)
2: University of L’Aquila

*Contact email: marco.di.renzo@cttc.es, laura.imbriglio@univaq.it, fabio.graziosi@univaq.it, fortunato.santucci@univaq.it, cveri@cttc.es

Abstract

In this paper, we propose an analytical framework for analysis and design of cooperative spectrum sensing methods over correlated Log–Normal shadow–fading environments, when each cooperative user makes use of a simple Amplify and Forward (AF) relaying mechanism to send the detected signal to a sink node. We will show that the framework requires efficient and accurate methods for modeling the power–sum of correlated Log–Normal Random Variables (RVs), which well describe shadowing phenomena, and propose novel approximation methods to efficiently solve this problem. Numerical results will be shown to substantiate the proposed framework.

Keywords: Cognitive Radio Spectrum Sensing Cooperative Communications Correlated Log–Normal Shadowing Performance Analysis

Published: 2012-06-01

: http://dx.doi.org/10.1007/978-3-642-03819-8_13