5G Standalone Call Fallback Monitoring via SIP Indicators
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Solution Overview
Problem
Network operators face challenges in monitoring and optimizing key performance indicators (KPI) for voice calls that 'fall back' to legacy technologies from 5G standalone networks, as these calls are difficult to distinguish and analyze separately from standard calls, affecting service quality and user experience.
Innovation Solution
A computer-implemented method that identifies and isolates 'fall back' calls by analyzing Session Initiation Protocol (SIP) records and Call Detail Records (CDRs) to determine termination cause codes and key performance indicators (KPIs), allowing network operators to differentiate and evaluate the performance of calls that originated on 5G NR but fell back to 4G VoEPS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network operators provide access to legacy network technology when upgraded 5G technology is not available, then user service continuity is maintained, but it becomes difficult to distinguish and monitor fall back calls separately from standard calls
Solution Approach 1:
The patent segments fall back calls from standard calls by introducing a specific fall back indicator in the SIP record. This indicator is set when a call is identified as a fall back call (originating on 5G NR but terminated on legacy network), enabling separate monitoring and analysis of fall back call performance without affecting the overall call handling process
Solution Approach 2:
The fall back indicator acts as an intermediary element that bridges the gap between 5G and legacy network calls. By inserting this indicator into SIP records during the call setup phase, the system enables downstream monitoring systems to identify and analyze fall back calls separately, resolving the monitoring difficulty while maintaining service continuity
2Reliability
If network operators monitor all voice calls to ensure quality, then overall service quality is maintained, but it becomes difficult to identify specific performance issues in fall back calls
Solution Approach 1:
The patent enables segmentation of fall back call data from the overall call dataset by using the fall back indicator in SIP records and corresponding indicators in CDRs. This allows monitoring systems to extract and analyze only fall back calls, providing precise measurement of fall back call performance metrics such as call success rate, call quality, and termination causes without being obscured by standard call data
Solution Approach 2:
The patent extracts fall back call information by identifying specific indicators in SIP records and CDRs. The monitoring system extracts only the relevant fall back call records that contain the fall back indicator, separating them from the general call dataset for focused analysis of termination causes and performance metrics specific to fall back scenarios
Data Source
AI summary
A computer-implemented method of for optimizing cellular network performance including identifying a plurality of voice call records stored on an application server in a first type of cellular network. The method includes analyzing call data associated with the plurality of voice call records, and identifying a set of fall back voice call records. The call data for each voice call record of the set of fall back voice call records includes a fall back indicator indicating that each voice call was initiated using a second type of cellular network. The method includes analyzing cause codes in the call data associated with the set of fall back voice call records and determining, based on the cause codes, a value for at least one KPI associated with the second type of cellular network.