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ML and Deep Learning Techniques in Wireless and Mobile Networking Systems

Book Review: ML and Deep Learning Techniques in Wireless and Mobile Networking Systems



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September 28, 2021

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The book, “Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems” is edited by K. Suganthi, R. Karthik, G. Rajesh, Peter Ho Chiung Ching. The book is published on September 14, 2021. This book presents positive and critical views on the difficulties and opportunities in the domains of machine learning and deep learning for wireless communication. It covers a wide range of advancements in machine learning and deep learning that are motivated by the unique limitations imposed by wireless networking systems.

The book provides an in-depth look into intelligent wireless communication systems and the technology that underpins them, as well as research problems, answers, and case studies. It discusses intelligent wireless communication systems, including their models, algorithms, and applications. The book is created as a reference that provides the most up-to-date technology and research findings for a variety of industry issues.

Machine learning-driven design and optimization of mobile/wireless system, intelligent algorithm and techniques for effective wireless communication, machine learning-based intelligent protocols, intelligent schemes with machine learning and deep learning for congestion control, resource allocation and optimization in wireless network using machine learning and deep learning, data analysis, and security schemes, applications of machine learning and deep learning, multimedia communication, energy management are all covered in this book.

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