Deep Learning in Intelligent Wireless Networking

This book presents a comprehensive exploration of the convergence of deep learning techniques and emerging technologies in the field of wireless communication systems. The book covers a wide range of topics, including machine learning for spectrum sensing, intelligent resource allocation in 5G networks, edge computing integration, IoT connectivity, security and anomaly detection, mobility prediction, and more. This book sets the stage for understanding how deep learning techniques can enhance various aspects of wireless networking. The case studies offer valuable insights into the application of deep learning techniques in intelligent wireless networking scenarios, demonstrating the potential to revolutionize network efficiency and enhance user experience. It tells about serves as a valuable resource for researchers, engineers, and practitioners interested in exploring the latest advancements in deep learning and emerging technologies for intelligent wireless networking. With its interdisciplinary approach and practical insights, this book provides a comprehensive guide to understanding the challenges, opportunities, and future directions of intelligent wireless communication.