Weather-Mapped Communications Network Performance Models
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Solution Overview
Problem
Existing cellular communications networks face challenges in accurately obtaining and interpreting performance data due to the influence of weather conditions, leading to misinterpretation and ineffective network control.
Innovation Solution
A method involving the mapping of meteorological data with performance data to create a model that accounts for the impact of weather conditions on network performance, allowing for more accurate evaluation and optimization of network operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If performance data is collected from the communications network, then network operation evaluation and optimization can be performed, but the accuracy of performance data is compromised due to weather condition influences
Solution Approach 1:
The patent introduces weather data as an intermediary factor that mediates between network performance measurements and actual network conditions. By collecting and analyzing weather data alongside performance data, the system can distinguish between performance variations caused by weather conditions versus actual network issues, thereby improving measurement accuracy.
Solution Approach 2:
The patent changes the parameters used for performance evaluation by incorporating weather-related parameters (temperature, humidity, precipitation) into the analysis. This allows the system to adjust performance thresholds and expectations based on environmental conditions, separating weather-induced variations from genuine network performance degradation.
2Reliability
If weather data is collected and integrated with performance data, then network control accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the data processing into distinct modules: weather data collection, performance data collection, data mapping and alignment, model creation, and network control. This segmentation allows each component to handle specific tasks independently, making the overall complex system more manageable and maintainable.
Solution Approach 2:
The patent implements a feedback mechanism where the created model continuously refines network control decisions. By comparing actual network performance against weather-adjusted expectations, the system learns and adapts, improving accuracy over time while managing complexity through iterative optimization rather than requiring all complexity to be present simultaneously.
Data Source
AI summary
A computer implemented method for controlling a communications network. The method is performed by obtaining first meteorological data comprising information about weather conditions at different locations; obtaining first performance data from the communications network (101) at different network locations; mapping the first meteorological data and the first performance data to each other based on location information to obtain a plurality of data points of performance data and respective weather condition; creating a model of impact of the weather conditions on performance data based on the plurality of data points; and providing the model for the purpose of controlling the communications network (101).