Elisa Polystar is the only supplier on the market who has developed AI automation for networks and implemented it in our own networks for ten years and counting. Our solutions offer a set of field-proven use cases for planning, operations and optimisation.
Elisa Polystar provides the Intelligent Energy Saver (IES) AI-based energy saving Multivendor energy saving to reduce energy OPEX while keeping a stable network quality level.
High and growing energy OPEX: Network elements can be automatically turned ‘off’ when not in use. We add extra capabilities to RAN-vendors’ energy saving features.
Multivendor network: Calculate and schedule energy saving for a multivendor network from 2G to 5G.
Network usage prediction: We use machine learning and advanced analytics to determine the safe energy-saving level. Determine algorithm aggressiveness based on own business and institutional requirements.
Changing network usage: Multi-algorithm collaborator solves inconsistencies across the network. The AI energy-saving algorithms can take into account changes in network behavior, such as holidays, events and weekends.
Affected users: Minimize the effect on user experience by using smart scheduling that takes usage into consideration.
End-user engagement: A feature is added to the users' platform (e.g. OmaElisa) to engage the users in the energy saving process
Team Members: Tareque Mahmud, Aleksi Ala-Uotila, Aly Metwaly, Hasan Alqaysi, and Ruixian Pan
