Distributed Cooperative Ai Techniques for Cognitive Radio Networks
Ganesh Babu Rajendran1, Amudha Veerappan2

1Ganesh Babu Rajendran, Department of Electronics and Communication Engineering, Rajalakshmi Institute of Technology, Chembarambakkam (Tamil Nadu), India.
2Amudha Veerappan, Department of Electronics and Communication Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
Manuscript received on 20 May 2019 | Revised Manuscript received on 06 June 2019 | Manuscript Published on 15 June 2019 | PP: 198-203 | Volume-8 Issue-1S2 May 2019 | Retrieval Number: A00460581S219/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Cognitive radio has emerged as one of the Next Generation(xG) wireless communication systems and dynamic spectrum access utilization in next generation cellular networks. In this paper, a literature survey of many spectrum sensing techniques are studied and the comparative results are analyzed. Also the challenges and techniques that are involved in spectrum sensing is discussed in detail. Cooperative Sensing based Artificial Intelligence(AI) technique provides preferable stability and scalability because of its low complexity under dynamic Primary Users(PUs) activity. Cooperation between Secondary users to avoid interference, reduce the average time to sense the primary users and to solve the hidden node problem.
Keywords: Internet of Things; Architecture.
Scope of the Article: Cognitive Radio Networks