CPC H04L 41/40 (2022.05) [H04L 41/0895 (2022.05); H04L 41/16 (2013.01); H04L 47/11 (2013.01)] | 20 Claims |
1. A method, comprising:
receiving, by a device, network congestion data associated with a network providing a network slice to a user device and that includes data identifying a number of users, an average throughput, a latency, and one or more key performance indicators associated with the network;
receiving, by the device, media data associated with the user device;
receiving, by the device, weather data associated with the user device;
processing, by the device, the number of users, the average throughput, the latency, and the one or more key performance indicators, with a deep learning model, to generate a congestion decision for the network;
selectively:
activating, by the device, a new network slice for the user device based on the congestion decision indicating congestion in the network, or
maintaining, by the device, the network slice for the user device based on the congestion decision indicating no congestion in the network;
selecting a region, a duration, and a type for the new network slice based on activating the new network slice and based on the media data and the weather data; and
causing the network to provision the new network slice for the user device based on the region, the duration, and the type for the new network slice.
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