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About Deep Learning in Mobile and Wireless Networking: A Survey PDF
1) Deep learning techniques show great potential in managing the growing complexity and data volumes of mobile networks. They can help with tasks like radio access technology selection, malware detection, and extracting insights from heterogeneous mobile data. 2) Deep learning eliminates the need for expensive feature engineering by using hierarchical feature extraction to distill information and correlations from data with minimal preprocessing. This enables accurate and timely network analysis and management. 3) This article provides a comprehensive survey of research at the intersection of deep learning and mobile networking. It reviews literature, discusses deep learning architectures and model selection strategies, and how to tailor deep learning for individual mobile networking tasks.
Detailed Information
| Author: | ['Anonymous i8jqGxiN9'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 43 |
| Language: | English |
| Format: | |
| Price: | FREE |
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