Policy Enforcement Node Usage Monitoring via Threshold Rules
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Solution Overview
Problem
Existing usage monitoring functionality in mobile networks is coarse, leading to resource inefficiencies and increased messaging overhead, particularly when determining if a user is approaching their usage consumption quota, requiring multiple queries from the Policy and Charging Rules Function (PCRF) to the Policy and Charging Enforcement Function (PCEF).
Innovation Solution
Implementing a method and system at the policy enforcement node for installing usage monitoring rules based on threshold values for sending interval reports, including new attribute-value pairs (AVPs) such as Absolute-Granted-Service-Unit-Request and Percent-Granted-Service-Unit-Request, to send timely usage reports without additional querying or rearming messaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing usage monitoring functionality is used in policy nodes, then usage monitoring can be performed, but resource inefficiencies and increased messaging overhead occur due to coarse monitoring and multiple queries required
Solution Approach 1:
The system pre-configures usage monitoring rules with threshold values at the policy enforcement node before usage occurs. This allows the node to proactively monitor and automatically send reports when thresholds are met, eliminating the need for reactive multiple queries and reducing messaging overhead while maintaining precise monitoring
Solution Approach 2:
The policy enforcement node autonomously monitors usage against configured thresholds and self-initiates reporting when thresholds are met, without requiring external polling or multiple queries from the PCRF. This self-service mechanism reduces resource consumption and messaging overhead while maintaining monitoring precision
2Measurement precision
If multiple queries are sent from PCRF to PCEF to detect usage levels, then usage monitoring accuracy is maintained, but messaging overhead increases
Solution Approach 1:
Instead of the PCRF querying the PCEF multiple times to detect usage levels, the system inverts the approach by having the PCEF automatically send usage reports to the PCRF when pre-configured threshold values are met. This reversal maintains accurate usage detection while dramatically reducing messaging overhead by eliminating unnecessary queries
3Loss of energy
If interval-based reporting with threshold values is implemented, then messaging overhead is reduced, but real-time monitoring capability may be affected
Solution Approach 1:
The system changes the parameter of monitoring triggers from time-based or query-based to threshold-based events. By configuring specific usage threshold values, the system ensures reports are sent immediately when these thresholds are reached, providing timely notification while reducing overall messaging frequency and overhead compared to continuous or periodic reporting
Data Source
AI summary
Methods, systems, and computer readable media for usage monitoring are disclosed. In some examples, a method occurs at a policy enforcement node for enforcing policies in a mobile network. The method may include installing a rule for reporting user equipment (UE) related usage information based on at least one threshold value indicating an interval for sending usage reports. The method may also include in response to UE related usage meeting or exceeding the at least one threshold value, sending a first usage monitoring report message to a policy rules node.


