Base Station Fault Prioritization Using Predicted UE Data Rate

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Solution Overview

Problem

Existing fault management systems in telecommunication networks fail to prioritize faults based on their impact on user performance, leading to inefficient resource allocation and potential service disruptions.

Innovation Solution

A method and system utilizing a time series forecasting model to predict the average data rate of user equipment (UE) connected to faulty base stations, incorporating a global and local model to analyze network parameters, and prioritize faults based on their impact on UE performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual fault diagnosis by human experts is used, then fault detection accuracy is improved, but operational efficiency deteriorates due to growing network complexity and time consumption

Engineering Contradiction:

Improvefault detection accuracyVSAvoidoperational efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system implements self-service through automated fault detection and impact assessment algorithms that independently analyze network parameters, identify faulty base stations, and evaluate user service impact without requiring manual expert intervention, enabling the network to diagnose and prioritize faults autonomously

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of manual expert diagnosis with an automated computational system that uses algorithms to process network parameters, detect faults, and assess impact, substituting human expertise with machine-based analysis to improve operational efficiency while maintaining detection accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Difficulty of detecting and measuring

If equipment-centric fault management is used, then fault detection capability is improved, but resource allocation efficiency deteriorates due to equal weightage given to all faults regardless of user impact

Engineering Contradiction:

Improvefault detection capabilityVSAvoidresource allocation efficiency

Core Design Contradiction:

Difficulty of detecting and measuringVSProductivity

Solution Approach 1:

The system applies local quality by differentiating fault prioritization based on local user impact conditions, where each fault is evaluated according to its specific effect on user data rates and service quality in its local area, rather than applying uniform treatment to all faults, enabling more efficient resource allocation

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent changes the parameter of fault prioritization from equipment-centric equal weightage to user-impact-based differential weightage, using metrics such as average data rate degradation to dynamically adjust fault priority levels, thereby improving resource allocation efficiency while maintaining comprehensive fault detection capability

Inventive Principle:

Principle #35Parameter changes

3Ease of operation

If all faults are given equal weightage, then fault management simplicity is improved, but service quality deterioration occurs due to inability to prioritize faults affecting user performance

Engineering Contradiction:

Improvefault management simplicityVSAvoidservice quality

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system performs preliminary action by pre-calculating and storing the impact of each fault on user data rates and service quality metrics, so when a fault occurs, the prioritization can be immediately determined based on pre-established impact assessments, maintaining simplicity while improving service quality

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback mechanisms that continuously monitor network parameters and user performance metrics, using this feedback information to dynamically adjust fault prioritization decisions, ensuring that faults with greater user impact are appropriately prioritized while maintaining manageable operational complexity

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250350970A1Method and system for network fault management by predicting average rate at faulty base station

Publication Date: 2025.11.13 TATA CONSULTANCY SERVICES LTD

AI summary

This disclosure relates generally to a method and system for network fault management. Conventionally, faults are analyzed by setting rules based on network experts' experience, such as duration of faults or predefined categories of faults, to determine which faults need to be handled with higher priority. The present disclosure addresses these problems through a method of performing network fault management at a faulty base station using a timeseries forecasting model coupled with a clustering algorithm. The time series forecasting model considers a plurality of network parameters received from a plurality of base stations serving at least one user equipment (UE) and trains the model to predict an average data rate at the faulty BS. Further the model receives the network parameters for a cluster comprising the faulty BS and re-trains itself. Finally, the model prioritizes the faults based on decreased average data rate of the UE at the faulty BS.