Next-Gen Electronics and Communication Systems: Empowered by Machine Learning explores the role of artificial intelligence and machine learning in reshaping modern electronics and communication systems. The book presents a comprehensive overview of how data-driven intelligence is revolutionizing key areas of electronics and communication engineering, including wireless communication, Internet of Things, cognitive radio, integrated sensing and communication, photonics, and very large-scale integration. It also discusses the growing significance of intelligent techniques in addressing emerging challenges of next-generation (6G and beyond) communication networks, such as spectrum scarcity, energy efficiency, network optimization, and system complexity. The seven chapters collectively highlight recent research developments, practical methodologies, and future directions in AI-enabled electronics and communication systems, following the same informative and structured style as the sample blurb.

Readers will gain insights into the integration of AI and ML techniques across diverse domains of electronics and communication engineering, understand emerging intelligent system architectures and applications, and explore recent advancements that are shaping future communication technologies. The book emphasizes both theoretical foundations and practical applications, enabling readers to appreciate the growing role of intelligent systems in solving complex engineering problems.

This book is intended for postgraduate students, PhD scholars, researchers, faculty members, scientists, and industry professionals seeking an in-depth understanding of AI-driven innovations in electronics and communication engineering. It will also serve as a valuable reference for practitioners, educators, and technology enthusiasts interested in developing next-generation intelligent communication systems.

Key Features

• Comprehensive coverage of AI and ML applications in modern electronics and communication engineering.
• Explores emerging technologies including 6G, IoT, cognitive radio, ISAC, photonics, and VLSI.
• Discusses intelligent approaches for addressing spectrum scarcity, energy efficiency, network optimization, and system complexity.
• Presents recent research trends, practical methodologies, and future directions in AI-enabled communication systems.