Machine Learning for Wireless Communication (Synthesis Lectures on Communications)
By: and and
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- Synopsis
- 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.
- Copyright:
- 2026
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031941177
- Related ISBNs:
- 9783031941160
- Publisher:
- Springer Nature Switzerland
- Date of Addition:
- 08/12/25
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Communication
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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