Spectrum Sensing for Cognitive Radio Systems Using Modulation Classification: A Review

Authors

Mohammad Rida Bahloul, Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia.Follow
Mohd Zuki Yusoff, Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia.Follow
Abdel-Haleem Abdel-Aty, Physics Department, Faculty of Science, Al-Azhar University, Assiut, Egypt.Follow
M. Naufal M. Saad, Centre for Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Perak, Malaysia.Follow
Lamis Kudsi, Telecommunication and Electronic Engineering Department, Faculty of Electrical and Mechanical Engineering, Tishreen University, Latakia, SyriaFollow

Author Country (or Countries)

Malaysia.

Abstract

Spectrum sensing is the most important procedure for the operation of cognitive radio systems. To overcome the shortcomings of the conventional spectrum sensing techniques, considerable attention has been recently focused on the use of Modulation Classification (MC) for spectrum sensing. It relies on the fact that all primary users employ one modulation scheme or another for the transmission over the wireless channel; therefore, detecting any modulation scheme would be enough to confirm the presence of the primary user’s signal in the wireless channel. This paper discusses the spectrum sensing for cognitive radio systems using modulation classification and provides a critical review of the existing methods; where gaps in the knowledge base are highlighted and directions for future research are suggested.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/110326

Recommended Citation

Rida Bahloul, Mohammad; Zuki Yusoff, Mohd; Abdel-Aty, Abdel-Haleem; Naufal M. Saad, M.; and Kudsi, Lamis (2017) "Spectrum Sensing for Cognitive Radio Systems Using Modulation Classification: A Review," Applied Mathematics & Information Sciences: Vol. 11: Iss. 3, Article 26.
DOI: http://dx.doi.org/10.18576/amis/110326
Available at: https://digitalcommons.aaru.edu.jo/amis/vol11/iss3/26