Reduce Energy Costs

Operators globally are delivering impressive network performance following decades of major infrastructure investment. However, this advancement has led to sharply rising energy consumption, creating significant environmental concerns.

A new closed-loop energy reduction approach offers a breakthrough—achieving substantial energy savings by using real-time customer experience metrics to intelligently manage spectrum activation, all with existing hardware.

Traditional network energy-saving methods often rely on reducing power during off-peak hours, typically achieving only 3–5% in actual savings. A new approach monitors real-time customer demand and dynamically adjusts energy usage to match actual network activity around the clock. In live deployments, this has resulted in energy savings of 41%—a significant win for both sustainability and operational efficiency.

Network elements are no longer powered 24/7 but are dynamically engaged based on actual user demand.

Real Time Demand Management

Instead of running 24/7, power amplifiers are energized in proportion to real-time traffic demand.

Closed-loop AI application assures optimal CX service levels by re-energizing the appropriate amount of spectrum when traffic conditions change

Continuous AI Management

At a unit energy cost of €0.15/kWh, this approach delivered average savings of €3 per cell site per day. Scaled across 5,000 sites, that equates to annual savings of approximately €5.5 million for a medium-sized EU country.

Per-Band Energy Efficiency

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