Deep Learning in Wireless Communications

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Éditeur :

Springer


Paru le : 2024-10-03

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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.
Pages
142 pages
Collection
n.c
Parution
2024-10-03
Marque
Springer
EAN papier
9789819763139
EAN PDF
9789819763146

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
2376 Ko
Prix
158,24 €
EAN EPUB
9789819763146

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
14
Taille du fichier
1731 Ko
Prix
158,24 €

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