Network optimization method, apparatus, device, medium, and computer program product
By selecting key indicators in the RedCap network and fitting the relationship curves using a gradient boosting tree regression model, the problem of insufficient accuracy in RedCap network expansion judgment is solved, and efficient network resource allocation and optimization are achieved.
Patent Information
- Application Number
- CN202610538390.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-22
- Publication Date
- 2026-07-17
AI Technical Summary
The lack of a unified standard in the expansion process of the existing RedCap network leads to insufficient comprehensiveness and accuracy in expansion judgment, which fails to meet the customized needs of enterprises for network services.
By acquiring historical network performance data of RedCap cells, key indicators with high correlation to cell capacity are selected, and a gradient boosting tree regression model is used to fit the relationship curve. The inflection point is then used as the capacity expansion threshold, and cell capacity is monitored in real time to adjust network resource allocation.
It improves the accuracy and efficiency of expansion threshold prediction, alleviates congestion in high-load scenarios, enhances the service carrying capacity of a single cell, reduces resource waste and the risk of human error, and improves network optimization efficiency.
Smart Images
Figure CN122420868A_ABST