Geoffrey Ye Li, Hao Ye, Le Liang, Shi Jin

Wireless Communications and Machine Learning

• Gebundenes Buch

Produktbeschreibung

This concise single-semester textbook demonstrates cutting-edge concepts at the intersection of machine learning (ML) and wireless communications. Requiring no previous knowledge of ML, it includes over 20 examples addressing real-world challenges, and over 100 end-of-chapter exercises, including hands-on exercises using Python.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 306
• Erscheinungstermin: 3. Juli 2025
• Englisch
• ISBN-13: 9781009232203
• ISBN-10: 1009232207
• Artikelnr.: 74265803

Autorenporträt

Le Liang is a Professor in the School of Information Science and Engineering at Southeast University, Nanjing. He is a member of the Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society and was the Founding Technical Program Co-chair of the IEEE International Conference on Machine Learning for Communication and Networking.

Inhaltsangabe

Preface
Notation
1. Introduction
2. Channel modeling, estimation, and compression
3. Learning receiver design: signal detection and channel decoding
4. End-to-end learning of wireless communication systems
5. Learning resource allocation in wireless networks
6. Wireless for AI: distributed and federated learning
References
Index.