Deep Learning in Wireless Communications

Zhang, Haijun; Yang, Ning

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.

Details

Published by: Springer

Publication Date: 2024-10-04

Format: Hardcover

ISBN-13: 9789819763139

DOI: 10.1007/978-981-97-6314-6

Dimensions: 235cm x155cm

Pages: 142