Ucell and ZTE Complete Large-Scale Deployment of AI‑Powered Green Network Solution in Uzbekistan

• Ucell and ZTE have successfully completed the full commercial deployment of ZTE's  RAN AI‑powered energy‑saving solution across Ucell's entire network in Uzbekistan
• The solution has increased the network's energy efficiency ratio (data traffic delivered per kilowatt‑hour) by 10.6%, delivering more data for every unit of electricity consumed to lower both carbon emissions and operational costs
• A dual‑layer AI architecture dynamically optimizes energy use from real‑time traffic and automatically exits energy‑saving mode when KPIs fall below thresholds to protect user experience and network reliability

Tashkent, Uzbekistan, May 26, 2026 – ZTE Corporation (0763.HK / 000063.SZ), a global leading provider of integrated information and communication technology solutions, and Ucell, one of Uzbekistan's largest mobile operators, announced the full commercial deployment of ZTE's  RAN AI‑powered energy‑saving solution across Ucell's network. This milestone significantly advances Ucell's commitment to a more sustainable and energy‑efficient telecommunications infrastructure.

The AI-powered energy-saving solution leverages advanced artificial intelligence analytics to dynamically optimize network energy consumption based on real‑time traffic patterns. By enabling per‑site, per‑cell intelligent energy‑saving strategies, the system automatically activates energy‑saving modes during low‑traffic periods while ensuring seamless service continuity and a high‑quality user experience.

A key achievement of the deployment is a measurable improvement in network energy efficiency. The solution has increased the energy efficiency ratio – defined as the volume of data traffic delivered per kilowatt‑hour (GB/kWh) – by 10.6% across the network. This means that for every unit of electricity consumed, the network now delivers 10.6% more data, directly contributing to lower carbon emissions and reduced operational costs.

The AI-powered energy-saving solution employs a distributed computing architecture with dual‑layer intelligence consisting of network‑level AI for traffic forecasting and strategy orchestration, and base station‑level AI for real‑time execution and performance monitoring. It implements multi‑dimensional energy‑saving techniques including symbol‑level, channel‑level, carrier‑level, and equipment‑level shutdowns. These strategies are autonomously configured and continuously optimized through machine learning, ensuring an optimal balance between energy savings and network performance.

To safeguard user experience, the system conducts real‑time monitoring before, during, and after energy‑saving actions. It evaluates KPIs and automatically exits energy‑saving mode if any performance thresholds are exceeded, achieving an optimal balance between energy efficiency and network performance.

Mr. Wang Guangdong, CEO of ZTE Uzbekistan, said: "We are proud to support Ucell in this landmark green network transformation. The 10.6% improvement in energy efficiency ratio demonstrates that AI‑driven intelligence can deliver both environmental and economic value without compromising user experience. This deployment sets a strong example for sustainable telecom operations in Central Asia and beyond."

Mr. Andrey Shishkovsky, CEO of Ucell, commented: "At Ucell, digital transformation and environmental responsibility go hand in hand. By integrating ZTE's energy-efficient, AI-powered solution into our existing network, we have taken a decisive step toward reducing our carbon footprint and improving operational efficiency. The results prove that smart networks are not just the future – they are already delivering tangible benefits to our business and the planet today."

The successful implementation sets a benchmark for green network operations in the region, showcasing how intelligent automation can drive both ecological and economic benefits in modern telecommunications.