ZTE and Ucell Cut Mobile Network OpEx by 10.6%: How AI Agent Optimizes Power Consumption

Mobile operators spend millions of dollars on electricity to keep equipment running 24/7. ZTE and Ucell, Uzbekistan's state-owned mobile operator, implemented an AI agent for dynamic power management, resulting in a 10.6% reduction in overall operating expenses (OpEx) and massive savings of millions of dollars annually.

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The Problem: Energy Consumption as the Main OpEx Driver

A significant portion of mobile operators' operating expenses (OpEx) is attributed to electricity. Base station equipment, even when idle, consumes a considerable amount of energy. Running at peak capacity around the clock leads to massive utility bills, diverting capital from other critical engineering priorities.

Ucell faced this challenge and, in partnership with Chinese vendor ZTE, decided to leverage AI for optimization.

The Solution: Dynamic Power Management with AI

The companies deployed an AI agent that uses predictive algorithms to analyze user demand. This allows underutilized base station components to be forced into low-power sleep modes during off-peak periods.

The AI agent 'wakes up' the hardware milliseconds before regular traffic patterns resume, maintaining the expected quality of service without unnecessarily illuminating the entire grid. This ensures that the infrastructure scales its consumption directly alongside operational intensity.

The Results: 10.6% Savings and New Opportunities

The implementation of the AI agent yielded tangible results:

• Reduced Energy Consumption. Overall network energy usage was cut by 10.6% across the deployment footprint.
• Millions in Savings. For a national carrier, cutting electricity consumption by a double-digit margin removes millions of dollars from annual operating expenses. This directly improves margins without requiring consumer price increases or aggressive subscriber acquisition campaigns.
• Cost Optimization. The AI agent helps reduce the total cost of ownership of equipment over its entire lifecycle.
• Improved Business Case. Demonstrable reductions in power overhead offer a highly effective business case compared to raw throughput metrics. An autonomous system that manages its own utility footprint changes the financial profile of industrial connectivity investments.

Source: telecomstechnews.com

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