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About 1803.04311 - Transaction Survey
1) The document surveys the use of deep learning techniques in mobile and wireless networking. Deep learning has the potential to help manage rising data volumes and algorithmic applications in mobile networks. 2) Deep learning can systematically mine valuable information from traffic data and uncover complex correlations that would be too difficult for humans. It is well-suited for problems in mobile networking where data is heterogeneous, high-dimensional, and comes from various sources. 3) The survey provides an overview of how deep learning has been applied across different domains in mobile and wireless networking, including radio access technology selection, malware detection, and network management. It also discusses challenges and opportunities for future research at the intersection of deep learning and mobile networking.
Detailed Information
| Author: | ['solarisan6'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 53 |
| Language: | English |
| Format: | |
| Price: | FREE |
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