Aira Naavik Energy Management rApp

Using standard performance and configuration management data, the Naavik Energy Management rApp, powered by AI and machine learning, intelligently adjusts cell locks and unlocks or modifies the mMIMO configuration to decrease network energy consumption without affecting user QoE. Unlike most current solutions that use a static approach for power management based on available PM data, Aira addresses this issue by employing ML models to forecast wireless network traffic demand and select the active band combination that optimizes both for the lowest power consumption and the best user experience.

Navik enables operators to define their own optimization criteria based on their needs and requirements. In different markets, operators can set specific QoE requirements and allow Navik Energy Management to minimize energy consumption accordingly. This unique approach enables operators to have different strategies for different market areas based on energy prices and the type of users.

In the Naavik Energy Management app, the KPI predictor provides predictions for critical KPIs at the sector level, aiding in the decision-making process. Naavik's unique KPI prediction module is based on sector-level prediction, allowing for more accurate predictions compared to other approaches based on general morphological predictions.