Integrated Sensing, Communication and Computing Networks
Springer Verlag, Singapore
978-981-95-4932-0 (ISBN)
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The ISCC network refers to a network that possesses both the capabilities of physical-digital space sensing, ubiquitous intelligent communication, and computing. The high-precision localization of device-free targets can be performed to better understand the physical space. Moreover, computing technology will leverage large datasets and high computing resources to achieve extreme performance experience on exciting new services by merging the digital, physical, and human domains. It is foreseeable that the future mobile communication network will go beyond traditional pure communication by utilizing computing technology and providing the capability of surrounding environment sensing.
By providing a systematic introduction to ISCC networks, the book bridges the theoretical and algorithmic gap that has long existed between radar engineering, communication theory, signal processing, and wireless networking regarding ISCC networks. This open access book will serve as a primary starting point for new researchers to understand the integration of sensing, communication, and computing and as the ultimate guide for realizing the next-generation network paradigms.
This open access book provides researchers and engineers with the basic theory and practical algorithms of ISCC network. Additionally, it offers an easy-to-follow presentation and is ideal for graduate students.
Zhiyong Feng (M'08-SM'15) received her B.E., M.E., and Ph.D. degrees from Beijing University of Posts and Telecommunications (BUPT), Beijing, China. She is a professor at BUPT, and the director of the Key Laboratory of the Universal Wireless Communications, Ministry of Education, P.R.China. She is a senior member of IEEE, vice chair of the Information and Communication Test Committee of the Chinese Institute of Communications (CIC). Currently, she is serving as Associate Editors-in-Chief for China Communications, and she is a technological advisor for international forum on NGMN. Her main research interests include wireless network architecture design and radio resource management in 5th generation mobile networks (5G), spectrum sensing and dynamic spectrum management in cognitive wireless networks, and universal signal detection and identification. Zhiqing Wei (Member, IEEE) received the B.E. and Ph.D. degrees from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 2010 and 2015, respectively. He is an Associate Professor with BUPT. He has authored one book, three book chapters, and more than 50 papers. His research interest is the performance analysis and optimization of intelligent machine networks. He was granted the Exemplary Reviewer of IEEE WIRELESS COMMUNICATIONS LETTERS in 2017, the Best Paper Award of WCSP 2018. He was the Registration Co-Chair of IEEE/CIC ICCC 2018, the publication Co-Chair of IEEE/CIC ICCC 2019 and IEEE/CIC ICCC 2020. Qixun Zhang [M12] received the B.E. and the Ph.D. degree from BUPT, Beijing, China, in 2006 and 2011, respectively. From March to June 2006, he was a Visiting Scholar at the University of Maryland, College Park, Maryland. From Nov. 2018 to Nov. 2019, he was a Visiting Scholar in the Electrical and Computer Engineering Department at the University of Houston, Texas. He is a Professor with the Key Laboratory of Universal Wireless Communications, Ministry of Education, and the School of Information and Communication Engineering, BUPT. His research interests include 5G mobile communication system, integrated sensing and communication for autonomous driving vehicle, mmWave communication system, and unmanned aerial vehicles (UAVs) communication. He is active in ITU-R WP5A/5C/5D standards. Ping Zhang (M'07-SM'15-F'18) received the Ph.D. degree from the Beijing University of Posts and Telecommunications (BUPT), Beijing, China, in 1990. He is currently a Professor of School of Information and Communication Engineering at BUPT, the Director of the State Key Laboratory of Networking and Switching Technology, the Director of the Department of Broadband Communication of Peng Cheng Laboratory, a member of IMT-2020 (5G) Experts Panel, and a member of Experts Panel for China’s 6G development. He served as a Chief Scientist of National Basic Research Program (973 Program), an expert in Information Technology Division of National High-Tech R/&D Program (863 Program), and a member of Consultant Committee on International Cooperation of National Natural Science Foundation of China. Prof. Zhang is an Academician of the Chinese Academy of Engineering. His research interests mainly focus on wireless communication. Zhenqiang Sun received the Ph.D. degree from the University of Tsukuba, Tsukuba, Japan, in March, 2001. He is currently a Senior Engineer with the 6G Research Center, China Telecom Research Institute, Beijing, China. He has been a Research Fellow with the City university of Hong Kong, Hong Kong, from April 2001 to August 2002. He has been working with the Technical Department, Beijing Research Institute, China Telecom, Beijing, since September 2002. His current research interests include wireless spectrum engineering, network architecture, and quality of services in mobile networks.
"Chapter 1.Scenarios, concept, and requirements of ICSC networks".- "Chapter 2.Basic theory of integrated sensing and communication (ISAC) system".- "Chapter 3.Signal design for ISAC system".- "Chapter 4.Signal processing in ISAC system".- "Chapter 5. Framework design of ICSC network".- "Chapter 6.Resource allocation of ICSC network".- "Chapter 7.Future directions".
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Reihe/Serie | Wireless Networks |
| Zusatzinfo | 118 Illustrations, color; 19 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Technik ► Nachrichtentechnik | |
| Schlagworte | 6G • communication and computing networks • integrated sensing • integrated sensing and communication system • open access • Resource Allocation |
| ISBN-10 | 981-95-4932-9 / 9819549329 |
| ISBN-13 | 978-981-95-4932-0 / 9789819549320 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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