Home // AICT 2014, The Tenth Advanced International Conference on Telecommunications // View article
Authors:
Johanna Vartiainen
Risto Vuohtoniemi
Keywords: noise measurement, cognitive radio, spectrum sensing, millimetric waves
Abstract:
Spectrum sensing is a low-complex and interesting way to find unused white spaces for secondary users transmission in cognitive radio. Because radio frequencies are strategic resource, their reallocation is required to ensure enough capacity for future communication devices. In addition to commonly used frequencies, millimetric waves have been proposed to be used for communication to fulfill upcoming needs. Because of broad operating area, adaptive spectrum sensing methods are needed to manage in different noise environments. For that reason, noise measurements were performed at several frequency areas between 10 MHz and 39 GHz. The goal was to study the noise properties in different frequency areas. Statistical properties of measured noise areas were analyzed and compared also with theoretically generated noise. The results show that histograms, PSDs and CDFs are almost equal. However, it was noticed that there is a huge difference between the noise levels, so sensing method that adaptively sets the detection threshold is required. The localization algorithm based on the double-thresholding (LAD) method was used as a blind and adaptive sensing method. The LAD method is based on the assumption that the noise is Gaussian. The probability of detection and false alarm were studied. It was shown that the LAD method operates well in all studied frequency areas.
Pages: 144 to 149
Copyright: Copyright (c) IARIA, 2014
Publication date: July 20, 2014
Published in: conference
ISSN: 2308-4030
ISBN: 978-1-61208-360-5
Location: Paris, France
Dates: from July 20, 2014 to July 24, 2014