Real-time AI-based analytical decomposition of 5G network latency

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.
The project consists in performing an analytical decomposition of the response time (latency) of 5G cellular technology. This will allow a better understanding of the reason for the high variance in milliseconds of the 5G latency by analyzing, in real time, the sub-components of the 5G latency such as transmission time, propagation time, routing time, etc. This data will allow customers (mobile operators) to take palliative and preventive measures to improve the quality of the 5G network in terms of latency. Understanding the components of latency will help to “understand why and how” the network generates such latency and why it varies over time.

Faculty Supervisor:

Denis Larocque

Student:

Partner:

LatenceTech

Discipline:

Computer science

Sector:

Information and Communications Technology; Other

University:

HEC Montréal

Program: