GSM-RF Channel Characterization Using a Wideband Subspace Sensing Mechanism for Cognitive Radio Networks
Joint Authors
Puliafito, Antonio
El Barrak, Soumaya
El Gonnouni, Amina
Serrano, Salvatore
Lyhyaoui, Abdelouahid
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, we examine a spectrum sharing opportunities over the existing Global System of Mobile Communication (GSM) networks, by identifying the unused channels at a specific time and location.
For this purpose, we propose a wideband spectrum sensing mechanism to analyze the status of 51 channels at once, belonging to the 10 MHz bandwidth centered at the frequency 945 MHz, in four different areas.
We propose a subspace based spectral estimation mechanism, adapted to deal with real measurements.
The process begins with data collection using Secondary User (SU) device enabled with Software Defined Radio (SDR) technology, configured to operate in the GSM band.
Obtained samples are used then to feed the sensing mechanism.
Spectral analysis is delivered to estimate power density peaks and corresponding frequencies.
Decision making phase brings together power thresholding technique and GSM control channel decoding to identify idle and busy channels.
Experiments are evaluated using detection and false alarm probabilities emulated via Receiver Operating Characteristic (ROC) curves.
Obtained performances show better detection accuracy and robustness against variant noise/fading effects, when using our mechanism compared to Energy Detection (ED) based ones as Welch method, and Beamforming based ones as Minimum Variance Distortionless Response (MVDR) method.
Occupancy results exhibit considerable potential of secondary use in GSM based primary network.
American Psychological Association (APA)
El Barrak, Soumaya& El Gonnouni, Amina& Serrano, Salvatore& Puliafito, Antonio& Lyhyaoui, Abdelouahid. 2018. GSM-RF Channel Characterization Using a Wideband Subspace Sensing Mechanism for Cognitive Radio Networks. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216200
Modern Language Association (MLA)
El Barrak, Soumaya…[et al.]. GSM-RF Channel Characterization Using a Wideband Subspace Sensing Mechanism for Cognitive Radio Networks. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1216200
American Medical Association (AMA)
El Barrak, Soumaya& El Gonnouni, Amina& Serrano, Salvatore& Puliafito, Antonio& Lyhyaoui, Abdelouahid. GSM-RF Channel Characterization Using a Wideband Subspace Sensing Mechanism for Cognitive Radio Networks. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216200
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216200