Call Duration-Based KPI for Network Retainability Monitoring
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Solution Overview
Problem
Existing network performance monitoring KPIs in E-UTRAN fail to accurately reflect end-user experience, as users may perceive network quality differently despite similar KPI values, necessitating a more nuanced understanding of call durations.
Innovation Solution
Monitor both normally and abnormally released call durations, calculate their average values, and determine a relative difference between them to create a new retainability KPI, facilitating network performance optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional retainability KPIs (E-RAB drop ratio or drops per second) are used for network performance monitoring, then network performance can be quantified, but the KPI values do not accurately reflect end-user perception of network quality
Solution Approach 1:
The patent segments the call duration metric into two distinct components: normally released call durations and abnormally released call durations. By separately measuring and comparing these two segments, the system captures nuanced information about network performance that traditional aggregate KPIs miss, thereby improving measurement precision while preserving end-user perception data.
Solution Approach 2:
The patent introduces a new dimension to network performance monitoring by adding the temporal dimension of call duration. Instead of relying solely on count-based metrics (drop ratio), the system measures the duration aspect, creating a two-dimensional performance assessment (count + duration) that better reflects user experience and provides more comprehensive network performance information.
2Device complexity
If only call drop count is monitored, then simple KPI calculation is achieved, but inability to capture call duration leads to inaccurate end-user experience assessment
Solution Approach 1:
The patent applies preliminary action by pre-configuring the network to monitor and store call duration information alongside drop count data. This preparatory measurement infrastructure is established in advance, enabling the system to calculate both simple drop ratios and more sophisticated duration-based metrics without requiring complex real-time processing, thus balancing calculation simplicity with measurement accuracy.
3Measurement precision
If detailed call duration monitoring is implemented for both normal and abnormal releases, then accurate end-user perception is achieved, but monitoring complexity and data processing requirements increase
Solution Approach 1:
The patent implements a universal monitoring approach where the same measurement infrastructure and data collection mechanisms are used for both normally released and abnormally released calls. This multi-functional system simultaneously captures drop count and duration information for all call types, reducing the need for separate specialized monitoring systems and thereby limiting the increase in device complexity while maintaining high measurement precision.
Data Source
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AI summary
Example embodiments of the present disclosure relate to methods, devices, apparatuses and computer readable storage media for network performance monitoring. In example embodiments, durations of normally released calls and durations of abnormally released calls are monitored during a measurement period. Based on the monitored durations of normally released calls and the monitored durations of abnormally released calls, an average value of the monitored durations of normally released call and an average value of the monitored durations of abnormally released calls are further determined. Then, the average value of the monitored durations of normally released call and the average value of the monitored durations of abnormally released calls are transmitted.