In a recent push to trim costs and lower power use, Ucell and ZTE are deploying artificial intelligence to manage energy across mobile networks. The effort centers on dynamic power management that adjusts network resources in real time. The companies say the approach cuts operating expenses and reduces the energy footprint without hurting service quality.
Ucell, a mobile operator in Uzbekistan, is working with network vendor ZTE to apply AI across parts of its radio access network. The strategy reflects growing pressure on telecom operators to control energy bills as data traffic rises. It also aligns with industry goals to cut emissions while keeping networks reliable and ready for new services.
Why Energy Efficiency Is Back in Focus
Power costs are a major line item for mobile operators. Base stations, cooling, and backhaul equipment run around the clock. As more devices connect and video usage grows, networks carry heavier loads, which drives up energy demand. At the same time, operators face tougher targets to shrink their carbon impact.
Vendors and carriers have tested many approaches, from hardware upgrades to site sharing. AI-driven control adds a new layer. Instead of fixed schedules or manual settings, software can study traffic and steer power use minute by minute. That promise is drawing interest across 4G and 5G networks, especially where electricity costs are volatile.
How Dynamic Power Management Works
Dynamic power management uses network data to decide when and where to scale radio resources. During quiet times, software can pause or downshift carriers and antennas. When demand picks up, the system restores capacity.
- AI predicts low-traffic windows and powers down select components.
- Algorithms coordinate across cells to avoid coverage holes.
- Policies set limits so emergency and priority services stay protected.
In effect, the network breathes with demand. This lowers wasted energy while keeping a safety margin for sudden spikes, such as events or outages nearby. The approach can also flag sites that need hardware checks or software updates to run more efficiently.
What The Companies Are Saying
“AI is driving telecom energy savings as Ucell and ZTE cut mobile network OpEx through dynamic power management.”
The message highlights two goals: lowering energy consumption and reducing operating costs. Company engineers say the project uses traffic forecasts and site-level controls to fine-tune power use. They also point to improved visibility into network performance, which can shorten maintenance cycles.
Independent analysts agree that AI can help, but warn that results vary by network design, local power prices, and the mix of 4G and 5G equipment. Savings tend to be strongest at night and in rural or suburban cells with wider demand swings.
Impact, Trade-Offs, and What to Watch
If successful, the initiative could free up cash for 5G expansion, fiber backhaul, or new services. Lower energy use also supports environmental goals and can reduce exposure to power price shocks. For a market like Uzbekistan, where coverage expansion is a priority, shifting OpEx to growth can be a competitive advantage.
There are trade-offs. Poorly tuned models risk dropped calls or slower data if they throttle capacity too aggressively. Operators need guardrails and ongoing audits. Cybersecurity is another factor, since AI control loops introduce new software surfaces. Workforce skills must keep pace, from data science to field operations.
Regulators are taking interest as well. Energy-saving features can help meet national efficiency targets, but agencies will expect proof that public safety and emergency services remain unaffected. Transparent reporting on uptime, call completion, and quality metrics will be key.
Signals From Early Deployments
Early adopters in other regions have reported meaningful reductions in site-level power use during off-peak hours. Case studies suggest that AI works best when paired with modern radios, smarter cooling, and efficient power supplies. The more granular the data—traffic, weather, events—the better the forecasts and the smoother the power shifts.
For Ucell and ZTE, success will hinge on how broadly they roll out the controls and how fast they can adapt models to local patterns. Seasonal changes, holidays, and city growth can all reshape demand. The most effective systems learn quickly and adjust without service dips.
For now, the signal is clear: telecoms are chasing lower OpEx and smaller energy footprints through smarter automation. If Ucell and ZTE sustain gains at scale, peers will likely follow with their own rollouts. Watch for published performance metrics, third-party audits, and expansion into 5G standalone sites as the next milestones.
