Samsung electronics co., ltd. (20240224065). AUTOMATING CONFIGURATION MANAGEMENT IN CELLULAR NETWORKS simplified abstract
AUTOMATING CONFIGURATION MANAGEMENT IN CELLULAR NETWORKS
Organization Name
Inventor(s)
Mehmet N. Kurt of New York NY (US)
Samuel Albert of Robbinsville NJ (US)
Russell Ford of San Jose CA (US)
Semih Yagli of Jersey City NJ (US)
Jianzhong Zhang of Dallas TX (US)
AUTOMATING CONFIGURATION MANAGEMENT IN CELLULAR NETWORKS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240224065 titled 'AUTOMATING CONFIGURATION MANAGEMENT IN CELLULAR NETWORKS
Simplified Explanation: The patent application describes methods and apparatuses for automating configuration management in cellular networks by using regression models to predict key performance indicators based on historical data.
- Regression model training based on historical samples
- Prediction of target KPIs using regression models
- Capturing parameter impacts in cellular networks
Key Features and Innovation:
- Automation of configuration management in cellular networks
- Utilization of regression models for predicting key performance indicators
- Parameter impact analysis for optimizing network configurations
Potential Applications:
- Telecommunications industry for optimizing cellular network configurations
- Network management systems for automating configuration processes
Problems Solved:
- Manual configuration management processes in cellular networks
- Inefficient optimization of network parameters
- Lack of predictive analytics for key performance indicators
Benefits:
- Improved efficiency in network configuration management
- Enhanced network performance through predictive analytics
- Cost savings by automating configuration processes
Commercial Applications: Automated configuration management technology can be utilized by telecommunication companies to optimize their cellular networks, improve network performance, and reduce operational costs.
Questions about Automated Configuration Management in Cellular Networks: 1. How does regression model training based on historical samples improve configuration management in cellular networks? 2. What are the potential cost-saving benefits of automating configuration processes in cellular networks?
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Original Abstract Submitted
methods and apparatuses for automating configuration management in cellular networks. a method of a ue comprises: training, based on historical samples, a regression model y using samples obtained from a set of parameters, wherein the regression model y comprises a function of a first term x and a second term h; and predicting, based on the regression model y, a target kpi to capture parameter impacts corresponding to the second term h.