Generative Learning for Wireless Communications

Name: Generative Learning for Wireless Communications
Price: 360.99 AUD
Availability: PreOrder

Fundamentals and Applications

By: Chuan, BSc, MSc, PhD Huang (Editor), Songyang, BSc, MSc, PhD Zhang (Editor), Shuai, BSc, MSc, PhD Zhang (Editor)

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Paperback | 1 July 2026

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Format
Paperback

Dimensions(cm)
23.5 x 19.1

Paperback

$360.99

or 4 interest-free payments of $90.25 with

Available: 1st July 2026

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Generative learning (GL) has emerged as an essential tool for data processing and network optimization in the broad area of next-generation communication systems. Generative Learning for Wireless Communications: Fundamentals and Applications provides a comprehensive and systematic tutorial for applying generative learning models to wireless communications. It explains the core concepts of state-of-the-art generative learning models, including generative adversarial nets, variational autoencoder, and other advanced models, such as transformers and diffusion models, and then shows their application to specific areas in wireless communications.

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