Policy Installation Feedback Mechanism for Error Diagnosis
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Solution Overview
Problem
Existing policy installation failure feedback mechanisms in NGN systems, such as TISPAN's RACS, only provide coarse-grain error messages, making it difficult for the A-RACF to identify specific policy installation issues and preventing targeted error prevention in subsequent installations.
Innovation Solution
Modifying the PIA and CCR messages to include a [Rule-Failure-Code] parameter within the [Policy-Rule-Report] parameter, allowing the RCEF to return finer-grained error reasons for each failed policy, enabling the A-RACF to accurately diagnose and address policy installation failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the PIA message includes only message-level error reasons without specific policy-level error reasons, then the message structure remains simple, but the A-RACF cannot accurately identify specific policy installation issues
Solution Approach 1:
The patent segments the error reason information by introducing a [Policy-Rule-Report] parameter that separately reports error information for each individual policy. This segmentation allows the A-RACF to identify specific policy-level issues without requiring complete structural redesign of the message format, thus improving measurement precision while controlling complexity.
Solution Approach 2:
The patent adds a new dimension to the error reporting structure by introducing the [Policy-Rule-Report] parameter that contains policy-specific error details. This dimensional extension enables detailed error identification without fundamentally complicating the existing message framework, resolving the contradiction between precision and complexity.
2Loss of information
If the system provides detailed policy-level error reasons for each failed policy, then the A-RACF can accurately diagnose failures, but the feedback message becomes more complex
Solution Approach 1:
The patent segments error information into individual [Policy-Rule-Report] entries for each failed policy, allowing complete error information to be conveyed in an organized manner. Each segment contains specific error details for one policy, preventing information loss while maintaining manageable message structure through systematic division.
Solution Approach 2:
The patent prepares the error information in advance by organizing it into structured [Policy-Rule-Report] parameters before transmission. This preliminary structuring ensures complete error information is preserved while reducing the complexity of processing detailed error data at the receiving end.
3Productivity
If the A-RACF receives only general error messages without specific policy failure reasons, then the feedback processing is simple, but targeted error prevention in subsequent installations is prevented
Solution Approach 1:
The patent implements enhanced feedback by including specific policy-level error reasons in the PIA message through the [Policy-Rule-Report] parameter. This detailed feedback enables the A-RACF to identify root causes of failures and implement targeted preventive measures in subsequent policy installations, thereby improving both reliability and productivity through informed decision-making.
Solution Approach 2:
The system enables self-service error prevention by providing the A-RACF with detailed error information that allows it to automatically adjust and optimize subsequent policy installations without external intervention. The [Policy-Rule-Report] parameter empowers the A-RACF to learn from failures and improve installation success rates autonomously.
Data Source
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AI summary
A feedback method and a processing system for policy installation failures are applied in communication technical field, which is favorable for an Access Resource Admission Control Function (A-RACF) to accurately grasp the detailed information of policy installation failure enforced by the Resource Control Enforcement Function (RCEF), therefore the efficiency of downwardly sending the policies for installation next time is improved. The method includes: when the installation of the policies downwardly sent from the A-RACF to the RCEF is failed, the RCEF generates a feedback message to be sent to the A-RACF, wherein the feedback message includes error reasons of the policy installation failures.