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. The book first provides the preliminary knowledge regarding communication and radar systems, including descriptions of system architecture and design concepts (such as 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 fulfil 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-level 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.
1. Introduction I Wireless Communication Basics
2. Wireless Channels and
signal models
3. OFDM principles
4. MIMO signal processing in communication
systems
5. Interference management and multiple access in communication
systems II Radar Sensing Basics
6. Waveform designs and basic signal
processing in radar systems
7. MIMO signal processing in radar systems
8.
Interference mitigation in radar systems III Integrated Sensing and
Communication (ISAC) Systems
9. ISAC systems and architectures
10. ISAC
transceiver design principles IV Learning-Based Enhancements
11. Machine
learning techniques
12. DL-based signal processing in communication systems
13. DL-based interference mitigation in communication systems
14. DL-based
signal processing in radar systems
15. DL-based interference mitigation in
radar systems
16. DL-based signal processing in ISAC systems
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.
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