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General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
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3.4
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Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
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Volume 16, No. 7, July 2021
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Spectrum Sensing on High Density Cognitive Radio Vehicular Ad Hoc Network
K. V. Rop
1
, P. K. Langat
2
, and H. A. Ouma
3
1. Pan African University, Institute for Basic Sciences, Technology, and Innovation, Kenya
2. Jomo Kenyatta University of Agriculture and Technology, Kenya
3. University of Nairobi, Kenya
Abstract
—Intelligent Transport System (ITS) has emerged as the most probable technology for improved transport experience more so in environments with high vehicular density. Effective vehicular communication is however hindered by spectrum scarcity due to the already crowded licensed spectrum. This has led to the emergence of Cognitive Radio (CR) systems as a solution to the spectrum scarcity problem. A crucial component in CR is spectrum sensing. Various spectrum sensing techniques including Cyclostationary, Matched Filter, and Energy detection have been proposed and applied with varied outcomes. In this paper, the above mentioned detection techniques are discussed and an improved energy detection based cooperative spectrum sensing scheme is proposed for improved communication in vehicular ad hoc networks (VANET). The proposed scheme showed an improvement in the performance of a network which in turn could lead to more efficient utilization of spectrum.
Index Terms
—Cognitive Radio, Spectrum Sensing, Vehicular ad hoc network
Cite: K. V. Rop, P. K. Langat, and H. A. Ouma, "Spectrum Sensing on High Density Cognitive Radio Vehicular Ad Hoc Network," Journal of Communications vol. 16, no. 7, pp. 259-266, July 2021. Doi: 10.12720/jcm.16.7.259-266
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
2-JCM170683
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