Название: Semantic Communications
Автор: Wei Chen, Zhijin Qin
Издательство: Springer
Серия: Textbooks in Telecommunication Engineering
Год: 2026
Страниц: 203
Язык: английский
Формат: pdf (true), epub
Размер: 28.4 MB

This textbook provides a comprehensive, step-by-step guide to Semantic Communications, focusing on how Deep Learning (DL) enhances its performance in modern communication systems. The purpose of the book is to offer students, researchers, and engineers a solid understanding of the theoretical principles and practical applications of semantic communication. The text builds from foundational concepts to advanced topics, making it suitable for graduate-level courses and beyond, while also serving as a reference for professionals looking to incorporate semantic communication into real-world systems. By moving beyond conventional data transmission to focus on meaning and intent, this textbook highlights how AI and Deep Learning are revolutionizing joint source-channel coding, bandwidth optimization, and task-oriented communications. With a strong emphasis on 6G and next-generation networks, this book offers a comprehensive guide to the theoretical foundations and practical applications of semantic communication, making it an essential resource for researchers, students, and professionals shaping the future of AI-driven telecommunications. The book features discussion questions, MATLAB or Python code for experiments and simulations related to semantic communication systems, PowerPoint slides for instructors, and a solutions manual.

Book proposals are solicited in all topics of telecommunication and network engineering including, but not limited to: network architecture and protocols; traffic engineering; network design, dimensioning, modeling, measurements, and analytics; network management and softwarization; cybersecurity; synchronization and control; applications of artificial intelligence in telecommunications and networks; applications of data science in telecommunications and networks; network availability, reliability, protection, recovery and restoration; wireless communication systems; cellular technologies and networks (through 5G, 6G, and beyond); satellite and space communications and networks; optical communications and networks; heterogeneous networks; broadband access and free-space optical communications; MSO/cable networks; storage networks; optical interconnects; and data centers; social networks; transmission media and systems; switching and routing (from legacy to today’s paradigms); network applications and services; telecom economics and business; telecom regulation and policies; standards and standardization; and laboratories.

- Combines theoretical principles with practical implementations of semantic communication systems;
- Addresses the foundational concepts and the hands-on application of deep learning to improve communication efficiency;
- Features discussion questions, MATLAB code for experiments, PowerPoint slides for instructors, and a solutions manual.

Contents:

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