How can AI ensure a smarter and more sustainable future for networks?

The Problem

Energy efficiency is a fundamental expectation for communication service providers. Artificial intelligence and machine learning are advanced forms of software that will enable more powerful decision-support and touch-free operations in customer-facing network domains.

The Solution

By testing and applying cutting-edge AI/ML solutions we can move towards enhancing energy efficiency without compromising on the quality of connectivity in mobile networks.

The Results

The team has been able to create a Digital Twin that acts a simulator for testing the agent. Currently, a generalized AI agent has been developed and trained in the simulator. It is tuned and adapted to the "real world".

Preliminary results from the work indicate 3% incremental energy saving potential with AI control, and 17% less violations of keeping 20 Mbps throughput constraints. The work is still to be verified in a real world environment.

The Value Proposition