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Machine Learning for Wireless Communication

By Thanki, Rohit M.

Machine Learning for Wireless Communication

By Thanki, Rohit M.

0 - Default Title
Description
This book covers the basic principles of wireless communication while delving into the fundamentals of machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning. The authors provide real-world examples and case studies to illustrate the use of machine learning in wireless communication applications such as channel estimation, mobility prediction, resource allocation, and beamforming. This book is an essential resource for researchers, engineers, and students interested in understanding and applying machine learning techniques in the context of wireless communication systems.
Product details
Number of Pages:
136
Release Date:
2025-08-13
Publication Date:
2025-08-13
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031941160
ISBN13:
9783031941160
GPSR Manufacturer Reference:
[email protected]
Weight:
415 g
Height:
173 cm
Width:
246 cm
Thickness:
14 cm
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