Real-time AI-based Anomaly Detection of 5G Network Latency Extension with new objectives and deliverables

LatenceTech offers a cloud analytics and monetization solution for cellular networks with a special focus on ultra-low latency connectivity. Using SAAS and AI, our solution helps mobile operators, telecom vendors and advanced industries to track, predict and secure the new benefits of 5G cellular technology.
This project consists in creating ML Models to perform near real-time anomaly detection of the response time (latency) of 5G cellular technology. This will enable LatenceTech’s solution to send warnings and alerts to management systems so that our customers, mobile operators, can take actions and resolve network issues. Furthermore, notifications of latency anomalies could be sent directly to connected applications (e.g. robotaxis, teleoperation of equipment, telemedicine, etc.) to warn them of current issues related to latency and allowing such application to switch to a “Safe Mode” thus preventing impacts on service quality or security.

Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

LatenceTech

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Université de Montréal

Program: