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2018 GTC San Jose

S8622 - Predicting 4G Wireless Network Quality with Deep-Learning Algorithm

Session Speakers
Session Description

We'll discuss how deep learning is used in KPI analysis and prediction for radio access networks, as well as the implementation and computational challenges. We'll also discuss the impact of machine learning on the network architecture. The KPIs include accessibility, retainability, mobility, and radio quality parameters. They are used to troubleshoot and optimize the radio access network. We'll highlight how GPUs were able to overcome computational bottlenecks that were limiting the usability of the results.


Additional Information
Telecom Industry Solutions
Telecommunications
Intermediate technical
Talk
25 minutes
Session Schedule