This textbook provides a comprehensive, step-by-step guide to Semantic Communications, focusing on how deep learning 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. 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.
