Wireless Semantic Communications: Concepts, Principles and Challenges

Understand the cutting-edge technology of semantic communications and its growing applications

Semantic communications constitute a revolution in wireless technology, combining semantic theory with wireless communication. In a semantic communication, essential semantic information is encoded at the source, drastically reducing the required data usage, and then decoded at the destination in such a way that all key information is recovered, even if transmission is damaged or incomplete. Enhancing the correspondence between background knowledge at source and destination can drive the data usage requirement even lower, producing ultra-efficient information exchanges with ultra-low semantic ambiguity.

Wireless Semantic Communications offers a comprehensive overview of this groundbreaking field, its development, and its future application. Beginning with an introduction to semantic communications and its foundational principles, the book then proceeds to cover transceiver design and methods, before discussing use cases and future developments. The result is an indispensable resource for understanding the future of wireless communication.

Wireless Semantic Communications readers will also find:

• Analysis of transceiver optimization methods and resource management for semantic communication
• Detailed discussion of topics including semantic encoding and decoding, Shannon information theory, and many more
• A team of editors with decades of combined experience in the study of wireless communications

Wireless Semantic Communications is ideal for electrical and computing engineers and researchers, as well as industry professionals working in wireless communications.

Yao Sun, PhD, is a Lecturer at the University of Glasgow, UK. His awards and honors include the IEEE Communication Society of TOAS Best Paper Award 2019 and the IEEE IoT Journal Best Paper Award 2022. He has served as a regular reviewer and editor for numerous international journals.

Lan Zhang, PhD, is an Assistant Professor of Electrical and Computer Engineering Department at Michigan Technological University, USA. She is also an Associate Editor of IEEE Transactions on Vehicular Technologies, and has published widely on machine learning, wireless communications, and related fields.

Dusit Niyato, PhD, is President’s Chair Professor in the School of Computer Science and Engineering, Nanyang Technological University, Singapore. He serves as Editor-in-Chief for IEEE Communications Surveys and Tutorials, as well as an Area Editor for IEEE Transactions on Vehicular Technology and an Editor for IEEE Transactions on Wireless Communications.

Muhammad Ali Imran, PhD, is Professor in Communications Systems at the University of Glasgow, UK, Dean of Transnational Engineering Education and Dean of Graduate Studies in College of Science and Engineering. He has published high impact articles on wireless communications and sensing subjects.