South KoreaTechnology and telecom2019 – ongoingSK Telecom
Machine-learning prediction for mobile-device paging
SK Telecom reported about 40% lower paging resource use with mobility prediction
Problem
Locating a handset when network communication resumed required paging messages across progressively wider areas. This consumed radio resources.
Approach
SK Telecom and Samsung began joint research in 2019. Machine learning analyzed users' movement patterns by base station and time. After trials, the partners completed commercial application of Smart Paging to locate devices with fewer messages.
Results
Takeaway
The reported saving concerned resources used to locate handsets. It was not a measurement of total network energy use.
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
- Evidence
- Company's own claim
Sources
Source summaries
ETNews reported completed trials and commercial application of Smart Paging after joint development with Samsung. The partners reported about 40% lower paging resource consumption through machine-learning analysis of mobility patterns.
Full details are in the original sources.