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AI in Cognitive Radio Networks: Its Role and Applications

AI in Cognitive Radio Networks: Its Role and Applications
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Author(s): Preetjot Kaur (UIET, Panjab University, Chandigarh, India) and Roopali Garg (UIET, Panjab University, Chandigarh, India)
Copyright: 2020
Pages: 18
Source title: Applications of Artificial Intelligence in Electrical Engineering
Source Author(s)/Editor(s): Saifullah Khalid (Airports Authority of India, India)
DOI: 10.4018/978-1-7998-2718-4.ch011

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Abstract

This chapter provides a-state-of-art of artificial intelligence (AI) techniques applied to cognitive radio networks. Cognitive radio (CR) is an empowering innovation for various new opportunities, for example, spectrum sensing, access, markets, and self-organizing networks. Its target is to enable the system to exploit the available resources through self-learning and to adapt itself accordingly to the sensed environment. To understand this plethora of applications, CR researchers often make use of several types of AI techniques. By utilizing AI, the network system can immediately complete self-awareness learning, structure association, and scheduling several tasks. To help researchers obtain a healthier knowledge of AI techniques along with CR, this chapter presents several such implementations that have already been applied. Finally, the literature review of the best accomplishments in applying AI techniques to CRs is presented and classified according to the major techniques of artificial intelligence.

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