The Intersection of 6g, Ai/Machine Learning, and Embedded Systems: Pioneering Intelligent Wireless Technologies

This comprehensive guide to the emerging areas and synergistic relationships among the domains of 6G, machine learning, and embedded systems offers readers a detailed analysis of their converging paths and contributions to the development of intelligent wireless systems. Readers will gain a solid understanding of the principles and technologies behind 6G, machine learning, and embedded systems. They will learn how these three areas intertwine and why this intersection is pivotal for the next generation of wireless technologies.

The contributors to this volume present a thorough and detailed analysis of this technology, highlighting its promising features, underlying technologies, and potential applications. The book first explores various applications of machine learning algorithms in areas such as network optimization, resource allocation, interference management, and intelligent data processing and analysis. Design considerations and challenges are presented, and case studies of innovative applications, such as smart cities, autonomous vehicles, healthcare, and industrial automation, are examined. The book concludes with a discussion of future trends and opportunities in this rapidly evolving field. Readers will benefit from the theoretical foundations and practical insights presented within and will be prepared to address future challenges and opportunities in these three fields.

This book is a valuable resource for academic researchers and industry professionals working in the fields of wireless communication, machine learning, embedded systems, and artificial intelligence.

Shruti Sharma is a Research Scientist at Ajou University, working on AI and wireless communication systems. She earned her PhD in Electrical and Computer Engineering from Ajou University, Korea. She holds a Master’s in Electronics from Pt. Ravishankar Shukla University, India and a Post Graduate Diploma in Computer Applications from Guru Ghasidas Vishwavidyalaya, India, along with a Diploma in Embedded Systems and Design from CDAC, Kolkata, India. Additionally, she has two years of teaching experience at CMD P.G. Science College, India.

Ashutosh Sharma is an Associate Professor in the Department of Physics at Amity University Jharkhand, Ranchi, India. Previously, he served as an Assistant Professor at Ajou University, South Korea. He earned his PhD from IIT Kharagpur, India. His research focuses on electrochemical deposition, lead-free soldering, AI in microelectronic packaging, additive manufacturing, high-entropy alloys, and biomaterials. He has been recognized by TMS and is ranked in the top 2% of scientists globally by Stanford University for three consecutive years.

Trinh Van Chien received his B.S. in Electronics and Telecommunications from Hanoi University of Science and Technology (HUST), Vietnam, in 2012. He then attained his M.S. in Electrical and Computer Engineering from Sungkyunkwan University, Korea, in 2014 and Ph.D. in Communication Systems from Linkoping University, Sweden, in 2020. He is now with the School of Information and Communication Technology, Hanoi University of Science and Technology, Vietnam.