Wireless Network Data Interpolation and Integration
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Solution Overview
Problem
Wireless communication network providers face compatibility issues between different vendor tools, data integrity problems, and inefficiencies in collecting and maintaining performance data, leading to difficulties in accurately measuring and optimizing network configurations, predicting performance, and producing reports across their organization.
Innovation Solution
A system and method for managing performance data collection and maintenance, including encoding and storing configuration data, measuring signal parameters, and predicting performance data for various network configurations, using a data interpolator to estimate network conditions for configurations with incomplete data, and integrating data across different applications and platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple vendor tools are used to maintain compatibility with different evaluation tools, then data compatibility is improved, but data complexity and maintenance effort increase
Solution Approach 1:
The patent segments data into two distinct formats: a proprietary detailed format for internal analysis and a standardized summary format for vendor tool compatibility. This segmentation allows the system to maintain rich detailed data internally while providing simplified compatible views to external tools, thereby improving adaptability without proportionally increasing complexity.
Solution Approach 2:
The patent introduces a data translation layer that acts as an intermediary between the proprietary data format and vendor-specific formats. This intermediary automatically converts and translates data as needed, eliminating the need to manually maintain multiple complex formats while ensuring compatibility with different evaluation tools.
2Adaptability or versatility
If data is maintained in multiple formats for different vendor tools, then data compatibility is improved, but time consumption for data management increases
Solution Approach 1:
The patent performs preliminary data processing and standardization at the point of data collection. By pre-processing data into both proprietary and standardized formats simultaneously, the system eliminates the need for subsequent manual format conversions when vendor tools need to access the data, significantly reducing data management time.
Solution Approach 2:
The patent creates standardized copies of data in vendor-compatible formats while maintaining the original proprietary data. These copies are generated automatically and can be independently accessed by different vendor tools without affecting the master data, thereby reducing the time required for data management and format conversion.
3Productivity
If new network configurations are implemented, then network performance is improved, but the time and effort required to gather new performance data increases
Solution Approach 1:
The patent performs preliminary analysis by comparing new network configuration data against historical performance data before actual field deployment. This preliminary analysis using the analysis module allows the system to predict performance outcomes and identify potential issues before new data collection campaigns are launched, reducing the time and effort required for post-deployment data gathering.
Solution Approach 2:
The patent implements a feedback mechanism that continuously compares actual performance data with predicted performance data. When new network configurations are deployed, the system automatically feeds back actual measurements to refine prediction models, reducing the need for extensive new data collection as the system learns to predict performance more accurately from existing patterns.
4Measurement precision
If performance data is collected for all network configurations, then measurement accuracy is improved, but resource requirements increase
Solution Approach 1:
The patent creates a universal data structure and analysis framework that can handle multiple network configurations and parameter types within a single integrated system. This multi-functional approach allows the same infrastructure to analyze diverse data types (signal strength, interference, capacity, etc.) across all configurations, maintaining measurement precision while avoiding the need for separate specialized systems for each configuration type.
Solution Approach 2:
The patent dynamically adjusts data collection parameters based on network conditions and configuration types. Rather than collecting all possible parameters for all configurations uniformly, the system selectively collects only the most relevant parameters for each specific configuration based on historical importance and current network conditions, thereby maintaining measurement accuracy while reducing overall data volume.
Data Source
AI summary
A system and method of managing collection and maintenance of performance data for a wireless communications network including collecting configuration data for the network, encoding the collected configuration data and storing the data, collecting a transmitted signal, measuring a parameter of the collected signal, and encoding and storing the parameter. These steps are repeated for additional configurations of the network. The transmitted signals are transmitted by a base station or a mobile device. Further, the transmitted signals are collected by a base station or a mobile device.