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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Flexible and Cognitive Radio Access Technologies for 5G and Beyond
Publisher	Institution of Engineering and Technology
Pages	481-512
Number of pages	32
ISBN (Electronic)	9781839530791
State	Published - 1 Jan 2020
Externally published	Yes

Cite this

@inbook{c5ef37fcfe84424b9987c02704b1bade,

title = "Cognitive radio spectrum sensing: From conventional approaches to machine-learning-based predictive techniques",

author = "Metin Ozturk and Abubakar, \{Attai Ibrahim\} and Sajjad Hussain and Abbasi, \{Qammer H.\} and Imran, \{Muhammad Ali\}",

year = "2020",

month = jan,

day = "1",

language = "English",

pages = "481--512",

booktitle = "Flexible and Cognitive Radio Access Technologies for 5G and Beyond",

publisher = "Institution of Engineering and Technology",

address = "United Kingdom",

}

Cognitive radio spectrum sensing: From conventional approaches to machine-learning-based predictive techniques. / Ozturk, Metin; Abubakar, Attai Ibrahim; Hussain, Sajjad et al.
Flexible and Cognitive Radio Access Technologies for 5G and Beyond. Institution of Engineering and Technology, 2020. p. 481-512.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Cognitive radio spectrum sensing

T2 - From conventional approaches to machine-learning-based predictive techniques

AU - Ozturk, Metin

AU - Abubakar, Attai Ibrahim

AU - Hussain, Sajjad

AU - Abbasi, Qammer H.

AU - Imran, Muhammad Ali

PY - 2020/1/1

Y1 - 2020/1/1

UR - https://www.scopus.com/pages/publications/85115721624

M3 - Chapter

AN - SCOPUS:85115721624

SP - 481

EP - 512

BT - Flexible and Cognitive Radio Access Technologies for 5G and Beyond

PB - Institution of Engineering and Technology

ER -