VOLTA for Energy Saving

As 5G networks expand to meet growing connectivity demands, telecom operators are facing a significant increase in energy consumption. 5G infrastructure consumes significantly more energy than previous generations due to higher data rates, higher cell density, and continuous operation to meet low-latency requirements. Most 5G antennas operate at full capacity regardless of network demand, resulting in energy inefficiencies, especially during low-traffic periods (e.g., at night or in less populated areas). Static configurations and the lack of adaptive control mechanisms prevent dynamic adjustments based on real-time usage, resulting in high operating costs, significant environmental impact, and unsustainable energy consumption at scale. There is a growing need for intelligent solutions that reduce consumption without compromising service quality or coverage. To address these inefficiencies, we propose an AI-powered platform that dynamically analyzes real-time and historical traffic data to suggest optimized energy management actions for 5G antennas. What sets this solution apart is its use of RAN digital twins to validate all AI-suggested actions before deployment, ensuring safe and performance-compliant decision-making.