Sale 12%
CRC Press
Machine Learning for Mobile Communications
Product Code:
9781032306933
ISBN13:
9781032306933
Condition:
New
$157.94
Discusses the 5G new radio system design, and architecture as specified in 3GPP documents. Highlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systems. Identifies both theoretical and practical problems that can occur in mobile communication systems. Covers machine learning techniques such as autoencoder, and Q-learning in a comprehensive manner. Explores how to apply machine learning techniques to mobile systems to solve modern problems.
| Author: Sinh Cong Lam, Chiranji Lal Chowdhary, Tushar Hrishikesh Jaware, Subrata Chowdhury |
| Publisher: CRC Press |
| Publication Date: Jun 17, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Hardcover |
| ISBN-10: 1032306939 |
| ISBN-13: 9781032306933 |
Machine Learning for Mobile Communications
$157.94
Discusses the 5G new radio system design, and architecture as specified in 3GPP documents. Highlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systems. Identifies both theoretical and practical problems that can occur in mobile communication systems. Covers machine learning techniques such as autoencoder, and Q-learning in a comprehensive manner. Explores how to apply machine learning techniques to mobile systems to solve modern problems.
| Author: Sinh Cong Lam, Chiranji Lal Chowdhary, Tushar Hrishikesh Jaware, Subrata Chowdhury |
| Publisher: CRC Press |
| Publication Date: Jun 17, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Hardcover |
| ISBN-10: 1032306939 |
| ISBN-13: 9781032306933 |
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