

Uzbek mobile operator Ucell, in collaboration with Chinese vendor ZTE, successfully implemented an AI agent for dynamic power management of base stations. The result is a 10.6% reduction in overall network energy consumption, which translates to millions of dollars in annual savings for a national operator.
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Energy consumption is one of the largest operating cost items for mobile operators worldwide. Mobile network equipment, especially Radio Access Network (RAN) base stations, consumes a lot of power even when not fully utilized. Running communications hardware at peak capacity around the clock incurs massive utility bills, draining capital from other critical development areas.
Traditional power management approaches often fail to account for dynamic user demand, leading to excessive energy consumption during off-peak periods.
ZTE and Ucell deployed an AI agent that uses predictive algorithms to analyze user demand. The agent forecasts periods of low activity and forces underutilized base station components into low-power sleep modes. Milliseconds before regular traffic patterns resume, the hardware “wakes up,” maintaining the expected quality of service without unnecessarily illuminating the entire grid.
This approach allows infrastructure energy consumption to adapt directly to current usage intensity, which is particularly relevant for telecommunications companies aiming to optimize their total cost of ownership.
Source: telecomstechnews.com
The Ucell and ZTE case demonstrates that AI agents can bring significant savings even in capital-intensive and technologically complex industries like telecommunications. If your company has infrastructure with variable loads, an AI agent can:
Want to learn how an AI agent can optimize operating expenses in your company? Message the manager. We will conduct a free analysis of your business and show potential areas for growth and savings.