Traffic Prediction Context Awarness

How Net Reply use Neural Networks to improve Traffic Prediction

SCENARIO

In these days, we are experiencing a traffic growth, with thousands of devices consuming online content with low-latency and high throughput, which has put tremendous stress on network infrastructures.
Telcos are now facing unprecedented complex and challenging problems.
Thus, there is the need of supporting tools for Telco operators to forecast traffic on a single device and to identify anomalous peaks due to external events.

CONTEXT-AWARE APPLICATIONS

With “Context Aware Applications”, we refer to applications aware of external factors that can influence the area in which they operate.
Context Aware Applications improve classic Traffic Prediction tools thanks to their ability to recognise external factor impacting bandwidth.
Context-aware telecommunication systems are desirable because they are able to react to changes, which normal systems are not capable of, hence providing a superior QoS.

VALUE PROPOSITION

Net Reply guides Telco companies towards intelligent networks, able to self-heal, reconfigure themselves in a fully automated way, reducing human intervention for repetitive actions, and uncover the potential value lying in the telecommunication data.

  • Improve accuracy of traffic prediction

  • More precise traffic peaks detection

  • Increase QoS & Customer Satisfaction

  • Reduce urgent intervention costs

  • Decrease of traffic congestion claims

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