Delay Doppler Communications and Sensing: Principles, Advances and Applications of OTFS
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Delay Doppler Communications and Sensing: Principles, Advances and Applications of OTFS provides a comprehensive exploration of the principles and cutting-edge developments of delay Doppler (DD) communications and sensing with a specific focus on the advances and application of orthogonal time frequency space (OTFS). It highlights the fundamental theory for DD communications and sensing through the Zak transform, and discusses how this classic concept from quantum physics can reshape modern wireless technology. The important aspects of DD communications and sensing are introduced in detail, including transceiver design, performance analysis, and its application. In particular, this book reveals the intrinsic connections between DD domain wireless communication and sensing channels, unveiling the important interplay between communication and sensing functionalities in the DD domain. The book introduces the principles and design of communications and sensing based on the DD signal processing framework as well as delving into advanced aspects, such as DD domain MIMO and DD domain integrated sensing and communications (ISAC). By providing a comprehensive overview of both fundamental principles, cutting-edge research and practical applications, this book gives a deep understanding of the underlying concepts and techniques in Delay Doppler (DD) communications and sensing. With this book the reader will: âĸGain a comprehensive understanding of the Zak transform and DD domain wireless channels âĸUnderstand the concept of DD communications, including the popular variants of OTFS âĸLearn implementation details of DD communications and sensing âĸFollow state-of-the-art developments in DD communications and sensing âĸGrasp the insights and physical interpretations of DD communications and sensing âĸHave access to programming codes for OTFS and DD communications and sensingâĸA comprehensive overview of both fundamental principles and cutting-edge research, giving a deep understanding of the underlying concepts and techniques in Delay Doppler (DD) communications and sensing. âĸIncludes practical content such as coding strategies, channel estimation techniques, and equalization methods, accompanied by tips and guidance for practical implementation. âĸExplores a wide range of applications, from radar sensing to DD Multiple-Input Multiple-Output (MIMO) configurations, making it relevant for researchers, engineers, and practitioners in various domains. âĸHighlights outstanding research challenges and future directions, stimulating further exploration, and inspiring readers to contribute to the advancement of DD communications and sensing.
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Shuangyang Li received the B.S., M.S., and Ph.D. degrees from Xidian University, China, in 2013, 2016, and 2021, respectively. He received his second Ph.D. degree from the University of New South Wales (UNSW), Australia, in 2022. He is a recipient of the Marie SkÅodowska-Curie Actions (MSCA) fellowship 2022 and is currently a research assistant at Technical University of Berlin (TU-Berlin). Prior to that, he was a research associate at University of Western Australia (UWA). He was the organizer/chair for several workshops and tutorials on related topics of orthogonal time frequency space (OTFS) in IEEE conferences. He has co-authored the IEEE ComSoc Best Readings on OTFS and Delay Doppler Signal Processing. He is a founding member and currently the secretary of the special interest group (SIG) on OTFS. His research interests include signal processing, applied information theory, and their applications to communication systems, with a specific focus on waveform designs.Weijie Yuan received his B. Engineering and B. Economics degrees from Beijing Institute of Technology (BIT), China, in 2013, and his Ph. D degrees from BIT and University of Technology Sydney, Australia, in 2019. He is currently an Assistant Professor with the Department of Electronic and Electrical Engineering, the Southern University of Science and Technology, Shenzhen, China. Prior to that, he was a Research Associate with the Wireless Communications Lab in the University of New South Wales, Australia. During 2017 and 2019, he was a research assistant in the Centre of Excellence in IoT and Telecommunications, University of Sydney, Australia.Zhiqiang Wei received the B.E. degree in information engineering from Northwestern Polytechnical University (NPU), Xi'an, China, in 2012, and the Ph.D. degree in electrical engineering and telecommunications from the University of New South Wales (UNSW), Sydney, Australia, in 2019. From 2019 to 2020, he was a Post-Doctoral Research Fellow with UNSW. Since 2021, he has been a Humboldt Postdoctoral Research Fellow with the Institute for Digital Communications, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany. He is currently an Associate Professor with the School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an. His current research interests include statistic and array signal processing, resource allocation optimization, and orthogonal time-frequency space modulation. He has received the Best Paper Award at the IEEE International Conference on Communications (ICC) in 2018. He has been serving as the TPC Co-Chair for workshops on orthogonal time-frequency space (OTFS) in IEEE ICCC 2021, IEEE ICC 2021, and IEEE ICC 2022.Professor Jinhong Yuan is a Professor of Telecommunications with the School of Electrical Engineering and Telecommunications. He received the B.E. and Ph.D degrees in Electronics Engineering in 1991 and 1997, respectively. From 1997 to 1999 he was a Research Fellow at the School of Electrical Engineering, the University of Sydney, Sydney, Australia. In 2000 he joined the School of Electrical Engineering and Telecommunications, the University of New South Wales, Sydney, Australia, where he is currently a Professor and Head of Telecommunications of the school. He has published two books, two book chapters, over 300 papers in telecommunications journals and conference proceedings and 40 industrial reports. He is a co-inventor of one patent on MIMO systems and two patents on low-density-parity-check (LDPC) codes.
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