This open access book is one of the most promising core technologies in future communication systems for a variety of new wireless application scenarios, such as unmanned aerial vehicles (UAVS), the Internet of Things (IoT), and smart factories. This is mainly due to its ability to integrate traditionally separate wireless communication and sensing functions, thereby significantly reducing hardware complexity and power consumption. The combination of full-duplex (FD) technology with ISAC technology (FD-ISAC) brings additional advantages over traditional Time Division Duplex (TDD)-based ISAC systems. Full-duplex technology enables simultaneous transmission and reception of signals, thereby minimizing communication delays and perceived blind spots. This capability allows FD-ISAC systems to achieve higher communication throughput and better perceptual performance in dynamic, demanding environments. This book provides a comprehensive and detailed introduction of FD-ISAC systems, focusing on their principles, techniques, and practical applications. This book firstly introduces the signal model, channel model and beamforming technology of ISAC, and the self-interference signal model of full-duplex system, respectively. And on this basis, the system model of FD-ISAC is constructed, which can realize the communication and sensing functions at the same time. The key signal processing technology flow of the FD-ISAC system, such as the self-interference cancelation processing, the identification of the interfering signal, the echo signal, etc., are described. This book also discusses the hardware requirements for realizing FD-ISAC systems. Advanced hardware implementation solutions are proposed, including communication modules based on full-duplex self-interference cancelation (SIC) technology and specialized FD-sensing modules. In addition, recent research advances in FD-ISAC SoC technology are reviewed, highlighting both domestic and international research progress. These advances are critical to the commercial viability of FD-ISAC systems, as SoC designs provide a compact and cost-effective solution for integrating the necessary communication and sensing functions on a single chip.
Table of Contents:
Introduction.- ISAC Models.- Key Technologies of FD.- FD-ISAC Processing.- Hardware Implementation of FD-ISAC.- On-Chip RF CancellerOn-Chip RF Canceller.- Challenge for FD-ISAC.- Future Directions for FD-ISAC.
About the Author :
Changhao Du received his Ph.D. degree from Beijing Institute of Technology, China, in 2018. From October 2016 to October 2017, he was a visiting Ph.D. student at Chalmers University of Technology, Sweden, supported by the China Scholarship Council. From July 2018 to March 2021, he worked as a postdoctoral research associate at Beijing University of Posts and Telecommunications, China. He is currently an Associate Professor at the School of Cyberspace Science and Technology, Beijing Institute of Technology. His research interests include statistical signal processing, endogenous security for wireless systems. His current work focuses on integrated sensing and communications (ISAC), satellite communication and navigation, covert communications (including low-zero spectrum techniques), and signal processing for intelligent space-air-ground integrated networks.
Zhongshan Zhang received his B.E. and M.S. degrees in Computer Science from Beijing University of Posts and Telecommunications (BUPT) in 1998 and 2001, respectively, and his Ph.D. degree in Electrical Engineering from BUPT in 2004. Since August 2004, he has worked as an associate researcher at DoCoMo Beijing Laboratories and was promoted to researcher in December 2005. Since February 2006, he has served as a postdoctoral fellow at the University of Alberta, Edmonton, AB, Canada. Since April 2009, he has worked as a research scientist at the Department of Research and Innovation (R&I), Alcatel-Lucent, Shanghai. From August 2010 to July 2011, he worked as a senior researcher at NEC China Laboratories. From August 2011 to September 2018, he worked as a professor at University of Science and Technology Beijing (USTB). Currently, he is a professor with the School of Syberspace Science and Technology (CST), Beijing Institute of Technology (BIT), Beijing, China. He has served or is serving as a guest editor and/or editor for several technical journals, such as IEEE communications magazine and KSII transactions on internet and information systems.
Jianping An received his Ph.D. degree from Beijing Institute of Technology, China, in 1996. He joined the School of Information and Electronics, Beijing Institute of Technology in 1995, where he is now a full professor. He is currently the dean of the School of Information and Electronics, Beijing Institute of Technology. He has published more than 150 journal and conference articles and holds (or co-holds) more than 50 patents. He has received various awards for his academic achievements and the resultant industrial influences, including two national awards for technological inventions and science and technology progress. His research interests include digital signal processing, wireless communications, and satellite networks. He has received two national awards for technological inventions and science and technology progress.
Xinyuan Zhang received the B.E. degree in telecommunication engineering from Beijing Institute of Technology, Beijing, China, in 2022. She is currently pursuing the Ph.D. degree with the School of Information and Electronics, Beijing Institute of Technology, Beijing, China. Her current research interests include full-duplex communications, integrated sensing and communications, and protocol design.
Hongru Zhang received his B.E. degree in Information and Communication Engineering and a second B.E. degree in Computer Science and Technology from Beijing Jiaotong University, Beijing, China, in 2021. He is currently pursuing his Ph.D. degree at the School of Information and Electronics, Beijing Institute of Technology, Beijing, China. His current research interests include full-duplex communications, integrated sensing and communications, signal processing, and channel estimation.
Jie Yang received his B.E. and M.E. degrees from Beijing Institute of Technology, Beijing, China, in 2023. He is currently pursuing his Ph.D. degree at the same institution, in the School of Cyberspace Science and Technology. His research interests include in-band full-duplex communications, GPS navigation, signal processing, and channel estimation.
