Description
The book offers a focused examination of deep learning-based wireless communication systems and their applications. While both principles and engineering practice are explored, greater emphasis is placed on the latter. The book offers an in-depth exploration of major topics such as cognitive spectrum intelligence, learning resource allocation optimization, transmission intelligence, learning traffic and mobility prediction, and security in wireless communication. Notably, the book provides a comprehensive and systematic treatment of practical issues related to intelligent wireless communication, making it particularly useful for those seeking to learn about practical solutions in AI-based wireless resource management. This book is a valuable resource for researchers, engineers, and graduate students in the fields of wireless communication, telecommunications, and related areas.
Table of Contents
Introduction to Intelligence Wireless Communication.- Cognitive Spectrum Intelligence.- Learning Resource Allocation Optimization.- Transmission Intelligence.- Learning Traffic and Mobility Prediction.- Software Defined Networking.- Security in Wireless Communication.- 6G Driving Applications with Deep Learning.
