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Role of Artificial Intelligence in Cognitive Radio Networks
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Author(s): Shikha Singhal (Jaypee Institute of Information Technology, India), Shashank Gupta (Jaypee Institute of Information Technology, India)and Adwitiya Sinha (Jaypee Institute of Information Technology, India)
Copyright: 2019
Pages: 22
Source title:
Sensing Techniques for Next Generation Cognitive Radio Networks
Source Author(s)/Editor(s): Ashish Bagwari (Uttrakhand Technical University, India), Jyotshana Bagwari (Uttrakhand Technical University, India)and Geetam Singh Tomar (THDC Institute of Hydropower Engineering and Technology, India)
DOI: 10.4018/978-1-5225-5354-0.ch014
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Abstract
The role of artificial intelligence techniques and its impact in context of cognitive radio networks has become immeasurable. Artificial intelligence redefines and empowers the decision making and logical capability of computing machines through the evolutionary process of leaning, adapting, and upgrading its knowledge bank accordingly. Significant functionalities of artificial intelligence include sensing, collaborating, learning, evolving, training, dataset, and performing tasks. Cognitive radio enables learning and evolving through contextual data perceived from its immediate surrounding. Cognitive science aims at acquiring knowledge by observing and recording externalities of environment. It allows self-programming and self-learning with added intelligence and enhanced communicational capabilities over wireless medium. Equipped with cognitive technology, the vision of artificial intelligence gets broadened towards optimizing usage of radio spectrum by accessing spectrum availability, thereby reducing channel interferences while communication among licensed and non-licensed users.
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