JapanTechnology and telecom2023 – ongoingRakuten Mobile
Machine-learning control of radio-network energy use
Rakuten Mobile deployed AI radio-network control after testing approximately 20% energy savings
Problem
Radio access equipment accounted for a large share of network electricity consumption. Base-station operation needed to respond more closely to changing traffic demand.
Approach
Rakuten Mobile and Rakuten Symphony jointly developed a RAN Intelligent Controller. Machine-learning applications predicted traffic and adjusted base-station utilization. By May 2025, the controller had entered part of the commercial 4G and 5G network.
Results
Takeaway
The quantified energy saving came from preproduction testing. The company reported commercial deployment without publishing an equivalent measured saving across the live network.
Categories
- Size
- Large enterprise
- Industry
- Technology and telecom
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Partner co-development
- Goal
- Cost savings
- Evidence
- Company's own claim
Sources
Source summaries
Rakuten Mobile announced deployment of machine-learning network control in commercial service. It reported approximately 20% energy savings in preproduction testing and treated nationwide savings as a target.
Full details are in the original sources.
