The application of artificial intelligence technology to 5G wireless communications is now appropriate to address the design of optimized physical layers, complicated decision-making, network management, and resource optimization tasks within networks. In exploring 5G wireless technologies and communication systems, artificial intelligence is a powerful tool and a research topic with numerous potential fields of application that require further study.

Applications of Artificial Intelligence in Wireless Communication Systems explores the applications of artificial intelligence for the optimization of wireless communication systems, including channel models, channel state estimation, beamforming, codebook design, signal processing, and more. Covering key topics such as neural networks, deep learning, and wireless systems, this reference work is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence
Autonomous Vehicles
Communication
Communications Technology
Data
Deep Learning
Networks
Neural Networks
Wireless Networks
Wireless Systems

Reviews & Statements

Artificial Intelligence (AI), which refers to any process or device who perceives their surroundings and takes measures that maximize the chances of success for certain predefined goals, is an achievable solution to the emergent design of a complex communication system. The latest developments in deep learning, convolutional neural networks and reinforcement learning are very promising for solving very complex problems regarded as insoluble until now. More specifically, the data driven approaches can change the research paradigm from a sophisticated mathematical model-based approach to a learning-based one. The application of artificial intelligence technology to 5G wireless communications is now appropriate to address the design of optimized physical layers, complicated decision-making, network management and resource optimization tasks within these networks. In addition, the emerging technology of big data has presented us with an excellent opportunity to explore the critical features of wireless networks and to assist us in obtaining a clearer and deeper understanding of the behavior of 5G wireless networks. In exploring 5G wireless technologies and communication systems, Artificial intelligence will be a powerful tool and a topical research topic with numerous potential fields of application. This book provides chapters which include applications of artificial intelligence for optimization of wireless communication systems, including channel models, channel state estimation, beamforming, code book design and signal processing etc. It is an extensive work in this domain rather than abstract form. It also explored not just the theoretical aspects but the practical implementation of this. The main objective of this book is to be a resource that contains a collection of recent research or advances in the research that happens in this field. As such there is no further study which has explored this domain in this context. There is no other work which has explored the use of artificial intelligence and new technology in context to the wireless communication, although wireless communication being one of the prime factors in almost all of the global economy in this digital era. But literature is limited to artificial intelligence in other industries or in another domain.

– Dr. Karan Kumar, Postdoctoral Fellow, Department of Neuroscience, University of Lethbridge, Alberta, Canada

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Editor/Author Biographies

Dr. Karan Kumar is a Postdoctoral Fellow in the Department of Neuroscience, University of Lethbridge, Lethbridge, Alberta, Canada. He received his Ph.D. degree in Electronics and Communication Engineering from Punjabi University, Patiala, Punjab, India. He did his M.Tech from Punjab Technical University, Jalandhar and B.Tech from Kurukshetra University, Kurukshetra. He has worked as an Associate Professor in Electronics and Communication Engineering Department in Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, India. He has over fourteen years of experience in teaching and research. He has published more than 30 papers in SCI/Scopus journals and along with this, more than 20 papers in reputed national/international conferences/book chapters. He has edited one book as sole editor. In continuation to this, he has 1 patent granted and published 2 patents in the relevant fields. He has attended many national level FDP's/workshops. He is an active reviewer in various reputed journals such as Artificial Intelligence Review, IET Image Processing, Supercomputing, IEEE Access, Cluster Computing, IJCS etc. His research interests include image processing, video processing, machine learning, deep learning, cyber security. Currently he is guiding 2 PhD scholars and 1 M.Tech Scholars under his guidance.

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