Roaming Satisfaction Indicator for Mobile Subscriber QoS
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Solution Overview
Problem
Existing inter-service provider networks lack visibility into user-specific or session-specific data flows, limiting their ability to provide effective usage monitoring, quality of service (QoS) control, and throttling for individual mobile subscribers during roaming, which can lead to poor roaming experiences and increased churn.
Innovation Solution
Implementing a system that monitors mobile signals and metrics to calculate a roaming satisfaction indicator (RSI) in real-time, allowing for automated actions such as network reconfiguration, data service rerouting, and alerting subscribers or operators to issues, thereby enhancing roaming experiences and visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing inter-service provider networks only access information at network layers 1-3, then device complexity is reduced and ease of operation is improved, but measurement precision of user-specific data flows is insufficient and loss of information occurs
Solution Approach 1:
The patent introduces an intermediary system that sits between the inter-service provider network and the data packets, extracting and analyzing deep packet information without requiring the core network infrastructure to be modified. This intermediary layer handles the complexity of deep packet inspection while presenting simplified information to the existing network architecture.
Solution Approach 2:
The system segments the network monitoring function into separate modular components that can independently analyze different aspects of data packets. This allows deep packet inspection capabilities to be added without complicating the overall network architecture, as each segmentation handles a specific analysis task.
2Reliability
If inter-service provider networks implement full visibility into user-specific data flows, then quality of service control is improved, but device complexity and processing requirements increase
Solution Approach 1:
An intermediary system is deployed to perform deep packet inspection and QoS analysis, isolating the complexity of full visibility implementation from the core network infrastructure. This intermediary handles the computationally intensive tasks of analyzing user-specific data flows while the existing network maintains its simplified operation.
Solution Approach 2:
The system implements feedback mechanisms where analyzed data flow information is continuously monitored and used to dynamically adjust QoS parameters. This feedback loop enables reliable quality of service control without requiring complex manual management, as the system automatically responds to observed network conditions.
3Productivity
If real-time monitoring of mobile signals and metrics is implemented, then productivity of roaming service management is improved, but use of energy and processing resources increases
Solution Approach 1:
The monitoring system implements periodic sampling of mobile signals and metrics rather than continuous monitoring. This approach maintains high productivity in roaming service management by capturing essential data at strategic intervals while significantly reducing the energy and processing resources required compared to continuous real-time analysis.
Solution Approach 2:
The system applies partial monitoring by focusing only on the most critical signals and metrics relevant to roaming service quality, rather than analyzing all possible data. This selective approach achieves effective roaming management with reduced computational overhead and energy consumption.
Data Source
AI summary
A method or corresponding apparatus for performing an automated action based on a roaming satisfaction indicator (RSI). A roaming satisfaction indicator for each individual mobile subscriber at a given time is evaluated by determining an age for each stored event by comparing the time the event was identified and the given time, assigning a current value to each of the stored events as a function of the determined age, the predetermined event type, and the predetermined impact level, and compiling the assigned current values of the events, resulting in the roaming satisfaction indicator at the given time. Based on the evaluated RSI, an action is automatically performed.