Location-Based Anomaly Detection in Cellular Networks
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Solution Overview
Problem
Locating service disruptions in cellular networks is challenging due to misleading performance indicator data, necessitating a more effective system for detecting anomalies in real-time.
Innovation Solution
A computer-implemented method and system for location-based detection of indicator anomalies in cellular networks, which generates service areas based on network traffic thresholds, aggregates performance indicators from antenna coverage sectors, and generates alerts for anomalies, using a processing unit connected to the network with memory instructions for selecting performance indicators like call set-up success rate or drop call rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If performance indicators are used to evaluate operational activities in cellular networks, then operational monitoring capability is improved, but data misleading occurs making service disruption location difficult
Solution Approach 1:
The patent divides the cellular network into multiple service areas, each comprising multiple antenna coverage sectors. By segmenting the network monitoring into smaller geographic units, the system can precisely locate service disruptions to specific service areas rather than entire networks, resolving the difficulty of identifying disruption locations while maintaining accurate performance indicator evaluation.
2Adaptability or versatility
If service areas are generated dynamically based on network traffic thresholds, then network monitoring adaptability is improved, but system complexity increases
Solution Approach 1:
The patent implements dynamic service area generation where service areas are automatically created or merged based on real-time network traffic thresholds. When traffic patterns change, the system dynamically adjusts service area boundaries by evaluating whether adjacent antenna coverage sectors should be merged, providing adaptability to varying network conditions while managing complexity through automated threshold-based decision logic.
3Measurement precision
If performance indicators are aggregated from multiple antenna coverage sectors, then detection accuracy is improved, but data processing time increases
Solution Approach 1:
The patent aggregates performance indicators from multiple antenna coverage sectors within each service area to improve anomaly detection accuracy. By combining data from multiple sectors, the system achieves more reliable detection results. To manage processing time, the aggregation is organized hierarchically at the service area level rather than examining every individual sector separately, balancing accuracy with efficient processing.
Data Source
AI summary
A location-based system detects anomalies in performance indicators of telecommunication networks. The system generates a plurality of service areas, each service area including a plurality of adjacent cell sites. A performance indicator of a first service area of the plurality of service areas is selected and an aggregated service area performance indicator is generated, by aggregating the selected performance indicator for each cell site of the plurality of cell sites of the first service area. Generation of the plurality of service areas may be related to a determined network traffic threshold. The threshold may be related to: total bandwidth provided by a cell site, or total number of calls handled by a cell site. The selected indicator may be, for example the call set-up success rate (CSSR), or the drop call rate (DCR). An alert related to the aggregated indicator may be generated.