JOULE MLTM
Reduce network energy consumption,
improve consumer experience.
CX informed RAN energy reduction
Mobile operators are delivering remarkable broadband performance to their customers after decades of heavy network investments. The next immediate opportunity is to transform mobile network sustainability using software innovation.
Joule is a closed loop ML-powered RAN energy savings solution that enables on demand energization of cell tower spectrum based on minute-by-minute measured traffic conditions.
Joule ML manages RAN energy consumption, reducing OPEX while achieving corporate sustainability goals
- Joule ML is an innovative, scalable software application with the power to reduce RAN energy consumption up to 40%
- Joule ML combines big data science and state of the art Machine Learning innovation technology to enable seamless control of spectral energization to minimize energy consumption
- Opanga’s globally deployed RAN Optimization technology enables more traffic to be delivered over each spectral channel. By increasing Spectral Efficiency RAN Optimization can add even greater benefit to Joule energy savings
- Joule ML monitors real-time application CX performance to ensure that just the right amount of spectrum is energized to deliver the very best CX at the absolute minimum electrical cost
- Optimize, Measure, Feedback and Control to ensure the best CX performance at the lowest possible energy consumption
Instead of an “always on” approach, Joule creates a “Spectrum on-Demand” environment which automatically manages cell site spectrum energization to match customer traffic demand.
This self-learning closed-loop system can be deployed in the mobile core as well as in the cloud.
