Wireless Network Forecast Module Using Component Interdependencies
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Solution Overview
Problem
Current wireless communication network management systems lack an efficient and accurate tool for predicting future operation status, relying on time series predictions that are often inaccurate due to the exclusion of influences from parent, son, and neighbor components.
Innovation Solution
A management system and method that includes a forecast module generating forecast values for network components by considering the influences from parent, son, and neighbor components, and a graphic user interface displaying these values through a forecast table, network tree graph, and map, with a warning function enabled based on comparisons with warning values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If time series prediction technique is used to predict future operation status, then the prediction process is simple, but the prediction accuracy is low
Solution Approach 1:
The patent segments the prediction process into multiple components: time series prediction for the network component itself, and separate prediction processes for parent, son, and neighbor components. Each segment contributes to the overall prediction accuracy without making the entire system overly complex.
Solution Approach 2:
The patent merges multiple prediction results (time series prediction, parent component prediction, son component prediction, neighbor component prediction) into a comprehensive forecast. This combination of multiple prediction sources improves accuracy while maintaining manageable system complexity through modular architecture.
2Device complexity
If only history data of the network component itself is considered for prediction, then the prediction model is simple, but the prediction accuracy is insufficient
Solution Approach 1:
The patent divides the data sources into distinct segments: the network component's own historical data, parent component data, son component data, and neighbor component data. This segmentation allows systematic collection and processing of multiple data sources without creating an unmanageably complex model.
Solution Approach 2:
The patent introduces intermediary prediction modules that process data from parent, son, and neighbor components before integrating them with the main prediction. These intermediaries simplify the overall model complexity by handling specific data processing tasks separately before combination.
3Measurement precision
If a comprehensive prediction system considering multiple components is implemented, then the prediction accuracy improves, but the system complexity increases
Solution Approach 1:
The system is segmented into independent prediction modules for different component types (parent, son, neighbor), each handling specific data processing tasks. This modular segmentation improves prediction accuracy through comprehensive data analysis while controlling system complexity through clear module boundaries and responsibilities.
4Device complexity
If no visual interface is provided for prediction results, then the system is simple, but the user cannot efficiently diagnose and adjust network operations
Solution Approach 1:
The patent creates visual copies of the network structure through graphical user interfaces that display network components and their relationships. These visual representations copy the actual network topology, allowing users to diagnose and adjust operations efficiently without adding physical complexity to the network itself.
Data Source
AI summary
A management system and method for a wireless communication network and an associated interface is provided. The management system provides a structure of data layers and a visualization design to upgrade the efficiency of network management. The management system includes a data generation module and a display module. The data module generates a plurality of data layers, which comprise at least a map layer, a network configuration layer, and an operation index layer. The network configuration layer comprises a configuration of the wireless communication network on the map layer. The operation index layer includes statistic values of an operation index of the wireless communication network under the configuration. The display module performs an overlap display of a plurality of selected layers from the data layers to show operation status of the wireless communication network.