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Deep learning in wireless communications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Deep learning in wireless communicationsby Haijun Zhang, Ning Yang.
Author:	Zhang, Haijun.
other author:	Yang, Ning.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xiii, 142 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Wireless communication systems.
Online resource:	https://doi.org/10.1007/978-981-97-6314-6
ISBN:	9789819763146$q(electronic bk.)

Deep learning in wireless communications
Zhang, Haijun.

Deep learning in wireless communications[electronic resource] /by Haijun Zhang, Ning Yang. - Singapore :Springer Nature Singapore :2025. - xiii, 142 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9789819763146$q(electronic bk.)

Standard No.: 10.1007/978-981-97-6314-6doiSubjects--Topical Terms:

182744
Wireless communication systems.

LC Class. No.: TK5103.2

Dewey Class. No.: 621.384

Deep learning in wireless communications
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505 0 $a 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.
520 $a 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.
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