Network Node Mode Driven Performance Indicator Data Reduction
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Solution Overview
Problem
Current telecommunications networks face significant challenges in efficiently transporting and storing large amounts of performance indicator (PI) data from nodes, as most raw PI data is transmitted to management systems for calculation of Key Performance Indicators (KPIs, but a majority is never used again once KPI data indicates the network is functioning properly, leading to unnecessary data transport and storage burdens as networks grow.
Innovation Solution
Implementing a network node with electronic circuitry that configures and selects from multiple performance indicator data reporting modes based on node type, time, traffic volume, and fault occurrence, allowing for reduced PI data retrieval by aggregating data into KPIs, event-triggered reporting, or periodic reporting, and storing raw PI data locally for potential future use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all raw performance indicator data is transported to management systems for KPI calculation, then complete data availability for analysis is improved, but data transport and storage burden increases significantly
Solution Approach 1:
The patent extracts only the necessary information (KPIs) from the raw performance indicator data at the network node level, rather than transporting all raw data to management systems. This is achieved by implementing local data processing capabilities that calculate KPIs directly at the node, sending only the derived KPI values to management systems for storage and further analysis.
Solution Approach 2:
The patent performs preliminary data processing and KPI calculation at the network node before data transport to management systems. By pre-calculating KPIs locally using electronic circuitry and software modules at the node, the system prepares the data in advance, transforming raw PI data into meaningful KPIs that can be stored and analyzed with minimal transport overhead.
2Productivity
If multiple reporting modes are implemented with different reporting scopes, then data retrieval efficiency is improved, but node configuration complexity increases
Solution Approach 1:
The patent implements dynamic reporting modes that can adapt to different operational conditions. The system supports multiple reporting modes (e.g., reduced reporting scope, periodic reporting, event-triggered reporting) that can be selected based on current network conditions, node type, and operational requirements. This dynamic approach allows the node to optimize data retrieval efficiency by choosing the appropriate reporting mode without requiring complex manual configuration for each scenario.
Solution Approach 2:
The patent creates a universal reporting framework that handles multiple reporting modes and scopes through a single configurable system. The electronic circuitry and software modules are designed to support various reporting configurations (reduced scope, periodic, event-triggered) within a unified architecture, allowing the same node to serve multiple functions and adapt to different operational requirements without requiring separate specialized configurations for each mode.
Data Source
AI summary
Method and apparatus are provided to reduce the amount of performance indicator (PI) data to retrieve from a network node (28). The performance indicator (PI) data to be retrieved may depend on the reporting mode of the node, as well as the configured reporting scope of the current reporting mode. The set of available reporting modes may depend of the node type. Moreover, the current reporting mode may depend on the time of day, week, etc., the amount of served subscribers, traffic volume, etc., over a time window, whether a specific fault has occurred, etc.