Telecommunications Resource Connectivity Through Proactive Error Detection
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Solution Overview
Problem
Existing telecommunications networks lack a mechanism to proactively detect service impact errors in real time, leading to inefficient resource usage and poor user experience due to the complexity and volume of error analysis, which often relies on user notifications and manual component analysis.
Innovation Solution
A proactive telecommunications network error detection system that receives automatically triggered messages, identifies associated components, and determines the cause of service impact errors using a subset of connectivity artifacts, thereby reducing computational resources and resolving errors in real time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network engineers manually monitor and analyze errors in real time, then service quality can be maintained, but the complexity and resource requirements of error analysis become unmanageable
Solution Approach 1:
The patent segments the complex error analysis task by dividing it into multiple analytical stages: initial error detection, preliminary analysis, detailed component-level analysis, and resolution. This segmentation allows the system to handle complexity in manageable steps rather than requiring all analysis resources simultaneously
Solution Approach 2:
The system performs preliminary error detection and classification before full analysis is required. By pre-identifying errors and their likely sources using automated monitoring and historical data, the system prepares analysis frameworks in advance, reducing the complexity of real-time decision-making
2Measurement precision
If error analysis is performed using all available connectivity artifacts, then complete accuracy is achieved, but computational resources are excessively consumed
Solution Approach 1:
The patent applies local quality by selectively analyzing only the subset of connectivity artifacts most relevant to each specific error type and context. Rather than uniformly analyzing all artifacts, the system adapts the analysis scope to the local characteristics of each error, examining only the necessary components with the depth required for that particular situation
Solution Approach 2:
The system implements partial action by analyzing a carefully selected subset of connectivity artifacts rather than all available data. The analysis depth and breadth are adjusted to match the specific error characteristics, performing sufficient analysis to identify the cause without the excessive resource consumption of comprehensive analysis
3Loss of information
If users notify the service provider of service issues, then errors can be reported, but network traffic increases and resolution is delayed
Solution Approach 1:
The patent implements continuous automated feedback loops where the system monitors network performance, detects errors, analyzes their causes, and triggers resolutions without requiring user initiation. This feedback mechanism operates continuously in the background, providing real-time error management that eliminates the delays associated with user notification cycles
Solution Approach 2:
The system performs self-service by autonomously detecting, analyzing, and resolving errors without requiring user intervention or notification. The automated error management system handles the complete error lifecycle independently, freeing users from the burden of reporting and following up on service issues while reducing network traffic related to error reporting
Data Source
AI summary
Systems and methods for improving telecommunications network resource connectivity via proactive telecommunications network error detection are disclosed. The system receives a triggered message indicating a service impact error impacting a quality of service between a user device and a telecommunications network. Responsive to receiving the message, the system accesses a set of connectivity artifacts to determine a set of telecommunications components associated with the service impact error. Responsive to determining the set of telecommunications components associated with the service impact error, the system accesses a subset of the set of connectivity artifacts to identify a cause of the service impact error. The system then determines a set of user devices that communicate with any of the set of telecommunications components during a first time period. The system then transmits a message indicating the cause of the service impact error to each user device of the set of user devices.