ZTE and Ucell deploy AI-RAN network in Uzbekistan

Tashkent, Uzbekistan (UzDaily.com) — ZTE Corporation and mobile operator Ucell have announced the full commercial deployment of an energy-efficient artificial intelligence-based AI-RAN solution in the operator’s network in Uzbekistan. The project forms part of a broader strategy to develop a more sustainable and energy-efficient telecommunications infrastructure.

The deployed system uses artificial intelligence and advanced analytics to dynamically optimize network energy consumption depending on current traffic load. At the level of individual base stations and cells, the solution automatically activates energy-saving modes during periods of low traffic while maintaining stable service quality.

According to the companies, the network’s energy efficiency indicator—measured as data traffic transmitted per kilowatt-hour—increased by 10.6%. This means the network can transmit more data at the same level of energy consumption, reducing operating costs and lowering carbon emissions.

The architecture of the solution is based on a two-layer artificial intelligence system. The network layer is responsible for traffic forecasting and strategic management, while the base station layer handles real-time operations and network condition monitoring. Multi-level energy-saving mechanisms are applied, ranging from symbol-level optimization to equipment-level control.

The system provides continuous quality-of-service monitoring before, during, and after energy-saving modes are activated. If deviations in key performance indicators are detected, the system automatically disables energy-saving mode to maintain stable network performance.

ZTE Uzbekistan CEO Wang Guandong noted that the deployment demonstrates the potential of artificial intelligence to achieve both environmental and economic results without compromising service quality.

Ucell CEO Andrey Shishkovskiy emphasized that digital transformation and environmental responsibility are complementary development priorities for the company, and the deployed solution is already showing practical results.

The project is considered one of the examples of developing “green” telecommunications networks in the region, demonstrating the potential of intelligent automation to improve efficiency and reduce environmental impact.