Wireless Communications and Sensing: Fundamentals, Signal Processing, and Machine Learning Solutions
Dec 2025 · CRC Press
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436
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About this ebook
In this work from leading figures in the field, Lee, Lee, and Lin describe methods of integrated sensing and communication (ISAC) and artificial intelligence-aided radio systems to provide improved efficiency and performance to wireless users using next-generation (6G) communications systems.
The authors provide the tools to master four major considerations of 6G systems: knowledge of communication systems, knowledge of radar systems, understanding of ISAC systems, and machine learning-based enhancements. Wireless Communications and Sensing: Fundamentals, Signal Processing, and Machine Learning Solutions begins by providing preliminary information regarding communication and radar systems, including descriptions of system architecture and design concepts (e.g., wireless propagation, waveforms, MIMO signal processing, and multi-user scenarios) for entry-level readers. Throughout, the authors describe novel artificial intelligence-enabled approaches to aid the design of communication and radar systems. Furthermore, this book also describes the architecture and design concepts of ISAC systems and offers an in-depth discussion of the applications of machine learning to communication, radar, and ISAC systems. Readers will be able to use their comprehensive understanding of this field to enhance ISAC system performance or aid the deployment of ISAC systems in real-world scenarios to fulfill 6G visions.
This book is especially valuable for graduate and higher-level students, scholars, and engineers who want to step into the research areas of integrated sensing and communications and artificial intelligence-aided radio systems. Readers should have at least a bachelor's degree in engineering and have had some exposure to signals and systems, communication theory, and radar principles.
The authors provide the tools to master four major considerations of 6G systems: knowledge of communication systems, knowledge of radar systems, understanding of ISAC systems, and machine learning-based enhancements. Wireless Communications and Sensing: Fundamentals, Signal Processing, and Machine Learning Solutions begins by providing preliminary information regarding communication and radar systems, including descriptions of system architecture and design concepts (e.g., wireless propagation, waveforms, MIMO signal processing, and multi-user scenarios) for entry-level readers. Throughout, the authors describe novel artificial intelligence-enabled approaches to aid the design of communication and radar systems. Furthermore, this book also describes the architecture and design concepts of ISAC systems and offers an in-depth discussion of the applications of machine learning to communication, radar, and ISAC systems. Readers will be able to use their comprehensive understanding of this field to enhance ISAC system performance or aid the deployment of ISAC systems in real-world scenarios to fulfill 6G visions.
This book is especially valuable for graduate and higher-level students, scholars, and engineers who want to step into the research areas of integrated sensing and communications and artificial intelligence-aided radio systems. Readers should have at least a bachelor's degree in engineering and have had some exposure to signals and systems, communication theory, and radar principles.
In this work from leading figures in the field, Lee, Lee, and Lin describe methods of integrated sensing and communication (ISAC) and artificial intelligence-aided radio systems to provide improved efficiency and performance to wireless users using next-generation (6G) communications systems.
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About the author
Ta-Sung Lee is Senior Vice President, Chair Professor of Department of Electronics and Electronical Engineering, and the Director of the IoT Intelligent Systems Research Center at National Yang Ming Chiao Tung University, Taiwan. He is a Fellow of the IEEE, and obtained his PhD from Purdue University in 1989.
Ming-Chun Lee is associate professor at the Institute of Communications Engineering at National Yang Ming Chiao Tung University, Taiwan. He gained his PhD from the University of Southern California in Electrical Engineering in 2020.
Chia-Hung Lin is a research assistant at North Carolina State University and is completing his PhD in Electrical and Computer Engineering at North Carolina State University, USA.
Ta-Sung Lee is Senior Vice President, Chair Professor of Department of Electronics and Electronical Engineering, and the Director of the IoT Intelligent Systems Research Center at National Yang Ming Chiao Tung University, Taiwan. He is a Fellow of the IEEE, and obtained his PhD from Purdue Univer...
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