Machine Learning for Wireless Communication (Synthesis Lectures on Communications)

Thanki, Rohit M./ Borisagar, Komal R./ Diwan, Anjali

Springer International Publishing AG（2025/09発売）

• 製本 Hardcover:ハードカバー版／ページ数 154 p.
• 言語 ENG
• 商品コード 9783031941160

Full 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.

Contents

Introduction.- Basic of Wireless Communication and Machine Learning.- Machine Learning Algorithms for Channel Prediction.- Machine Learning Algorithms for Resource Allocation.- Machine Learning Algorithms for Beamforming.- Machine Learning Algorithms for Mobility Prediction.- Practical Example of ML used in Wireless Communication.- Conclusion.