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Artificial Intelligence in Mobile and Modern Wireless Networks
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Author(s): Muhammad Abdullah Khan (National University of Sciences and Technology, Pakistan), Mahnoor Anjum (National University of Sciences and Technology, Pakistan), Syed Ali Hassan (National University of Sciences and Technology, Pakistan)and Haejoon Jung (Kyung Hee University, South Korea)
Copyright: 2023
Pages: 54
Source title:
AI and Its Convergence With Communication Technologies
Source Author(s)/Editor(s): Badar Muneer (Mehran University of Engineering and Technology, Pakistan), Faisal Karim Shaikh (Mehran University of Engineering and Technology, Pakistan), Naeem Mahoto (Mehran University of Engineering and Technology, Pakistan), Shahnawaz Talpur (Mehran University of Engineering and Technology, Pakistan)and Jordi Garcia (Universitat Politècnica de Catalunya, Spain)
DOI: 10.4018/978-1-6684-7702-1.ch003
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Abstract
Wireless communication systems have become fundamental to the information centric infrastructure of today. Due to their high demand, accessibility, and ease of use, they have undergone rapid development to support the ever-growing needs of wireless communication. Machine learning and artificial intelligence-enabled algorithms have provided unique solutions to many of the modern challenges in wireless communication systems. This chapter provides an overview of many of the communication sub-systems where intelligent algorithms are actively playing an important role. It starts by providing a brief introduction to the history and development of wireless communication systems, followed by an overview of their types, their applications, and properties. It then describes the main components of a basic wireless communication system, followed by the role of AI, based on the type of sub-system in the wireless communication chain. It also provides a comprehensive overview of the work being done in the areas currently targeted by AI in the wireless communication domain.
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