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Special Issue "Measurements for Cognitive Radio Communication Systems"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 20 September 2019

Special Issue Editors

Guest Editor
Prof. Luigi Ferrigno

Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Website | E-Mail
Interests: measurement systems; characterization of components and electrical systems; non-invasive tests in industrial fields; characterization of sensor networks for IoT and Industry 4.0; measurements methods for telecommunication devices and systems
Guest Editor
Dr. Gianni Cerro

Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Website | E-Mail
Interests: cognitive radio communications; network emulation tool validation; software-defined radios, time synchronization in wireless sensor networks; localization and positioning algorithms

Special Issue Information

Dear Colleagues,

This Special Issue aims to collect both review and original research articles related to measurement methods in cognitive radio communications. It is open to contributions ranging from the proposal of novel spectrum-sensing algorithms, to the characterization of sensing methods in controlled and unknown environments and the implementation of spectrum occupancy algorithms on real devices, e.g., software-defined radios, with special focus on the measurement contribution to the design and performance optimization of the proposed methods. Original contributions that look at novel standardization activities in the world of cognitive radios and, more generally, of dynamic spectrum access are also deeply encouraged.

Prof. Luigi Ferrigno
Dr. Gianni Cerro
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Cognitive Radio
  • Dynamic Spectrum Access
  • Software-Defined Radios
  • Spectrum-Sensing Algorithms
  • Spectral Measurements
  • Next-Generation Networks

Published Papers (1 paper)

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Research

Open AccessArticle A Novel Multiband Spectrum Sensing Method Based on Wavelets and the Higuchi Fractal Dimension
Sensors 2019, 19(6), 1322; https://doi.org/10.3390/s19061322
Received: 21 February 2019 / Revised: 7 March 2019 / Accepted: 13 March 2019 / Published: 16 March 2019
PDF Full-text (12452 KB) | HTML Full-text | XML Full-text
Abstract
In this work, two novel methodologies for the multiband spectrum sensing in cognitive radios are implemented. Methods are based on the continuous wavelet transform (CWT) and the multiresolution analysis (MRA) to detect the edges of available holes in the considered wideband spectrum. Besides, [...] Read more.
In this work, two novel methodologies for the multiband spectrum sensing in cognitive radios are implemented. Methods are based on the continuous wavelet transform (CWT) and the multiresolution analysis (MRA) to detect the edges of available holes in the considered wideband spectrum. Besides, MRA is also combined with the Higuchi fractal dimension (a non-linear measure) to establish the decision rule permitting the detection of the absence or presence of one or multiple primary users in the studied wideband spectrum. Methods were tested on simulated and real signals showing a good performance. The results present these two methods as effective options for detecting primary user activity on the multiband spectrum. The first methodology works for 95% of cases, while the second one presents 98% of effectivity under simulated signals of signal-to-noise ratios (SNR) higher than 0 dB. Full article
(This article belongs to the Special Issue Measurements for Cognitive Radio Communication Systems)
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