Cognitive radio spectrum sensing: from conventional approaches to machine-learning-based predictive techniques

Öztürk M., Abubakar A. I., Hussain S., Abbasi Q. H., Imran M. A.

in: Flexible and Cognitive Radio Access Technologies for 5G and Beyond, Hüseyin Arslan,Ertuğrul Başar, Editor, The Institution of Engineering and Technology (IET), London, pp.481-512, 2020

  • Publication Type: Book Chapter / Chapter Research Book
  • Publication Date: 2020
  • Publisher: The Institution of Engineering and Technology (IET)
  • City: London
  • Page Numbers: pp.481-512
  • Editors: Hüseyin Arslan,Ertuğrul Başar, Editor
  • Ankara Yıldırım Beyazıt University Affiliated: Yes

Abstract

This chapter is organised as follows: Section 16.2 will briefly summarise CR and its integral phases, while Section 16.3 will elaborate the traditional spectrum sensing techniques by introducing their key features and main limitations. The predictive spectrum sensing idea and the corresponding state-of-the-art will be presented in Section 16.4, and finally Section 16.6 will conclude the chapter.