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Machine Learning for Wireless Communication / by Rohit M. Thanki, Komal R. Borisagar, Anjali Diwan.
Springer Nature - Synthesis Collection of Technology (R0) eBook Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Thanki, Rohit M.
- Series:
- Synthesis Lectures on Communications, 1932-1708
- Language:
- English
- Subjects (All):
- Telecommunication.
- Computational intelligence.
- Wireless communication systems.
- Mobile communication systems.
- Computer networks.
- Communications Engineering, Networks.
- Computational Intelligence.
- Wireless and Mobile Communication.
- Computer Communication Networks.
- Local Subjects:
- Communications Engineering, Networks.
- Computational Intelligence.
- Wireless and Mobile Communication.
- Computer Communication Networks.
- Physical Description:
- 1 online resource (124 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- 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. In addition, this book: Describes the significance of machine learning in wireless communication Includes case studies in channel estimation, mobility prediction, resource allocation, and beamforming Provides detail on various machine learning algorithms used for applications.
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-94117-9
- OCLC:
- 1532839634
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