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Elsevier Science Publishing Co Inc
Generative Learning for Wireless Communications: Fundamentals and Applications
Generative Learning for Wireless Communications: Fundamentals and Applications
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- More about Generative Learning for Wireless Communications: Fundamentals and Applications
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.
- Publication date: 25 June 2026
- Page count: 325
- Dimensions: Height 190 mm; Width 233 mm; Thickness 22 mm
- Publisher: Elsevier Science Publishing Co Inc
- Format: Paperback
- ISBN-13: 9780443414978
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