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