Real-time AI-based Prediction Analysis of 5G network Quality of Service (QoS)

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. Many new innovative services will require a very high and sustained connectivity to function properly and bring the intended benefits. Such new services are Teleoperations of Equipment, Connected autonomous vehicles, Telemedicine, most services using Virtual Reality, etc.
The project consists in performing continuous predictions of quality of service with a special focus on the response time (latency) of 5G cellular technology. Having the capability to detect trends and predict, in anticipation, significant variations in 5G Quality of Service, will allow the solution to send notifications and alarms to warn the innovative service that connectivity issues are about to be experienced and take appropriate action (such as getting into “safe mode”). Furthermore, this predictive information would allow customers (mobile operators) to take palliative and preventive measures to improve the quality of the 5G network.

Faculty Supervisor:

Guillaume-Alexandre Bilodeau

Student:

Partner:

LatenceTech

Discipline:

Computer science

Sector:

Information and Communications Technology; Other

University:

Polytechnique Montréal

Program: