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Machine Learning for Wireless Communication.
・ISBN 978-3-031-94116-0 hard EUR 49.99
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| 著者・編者 | Thanki, Rohit M. / Borisagar, Komal R. / Diwan, Anjali, |
|---|---|
| シリーズ | (Synthesis Lectures on Communications) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2025 |
| ページ数 | 119 pp. |
| 言語 | ENG |
| ニュース番号 | <A04-47409> |
解説
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.