Subscriber Policy Adjustment for QoS Customization
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Solution Overview
Problem
Current subscriber policies are inflexible, as changes to quality of service (QoS) attributes affect all subscribers assigned to a policy, preventing customization and requiring manual, time-consuming processes, which can lead to network outages and resource-intensive policy creation.
Innovation Solution
A policy adjustment system that allows individual subscribers to change QoS attributes without affecting other subscribers, tracks usage to alert when thresholds are reached, and enables users to dynamically adjust QoS attributes before exceeding limits, using machine learning to generate new thresholds and communicating with user devices through SOMs or application functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple subscribers are assigned to each subscriber policy, then service providers can manage quality of service guarantees efficiently, but any changes made to the policy affect every subscriber, preventing customization
Solution Approach 1:
The patent segments the policy management system by introducing individual subscriber profiles that override global policy settings. Each subscriber can have personalized QoS parameters (data limits, speed limits, priority levels) that are applied individually, while still belonging to a group policy framework. This allows simultaneous management efficiency and individual customization.
Solution Approach 2:
The patent implements local quality by allowing specific subscribers to have customized QoS attributes within the broader policy framework. Instead of uniform policy application, each subscriber can have tailored data caps, speed thresholds, and priority settings that differ from both the global policy and other subscribers, enabling precise local optimization.
2Reliability
If technical specialists manually make changes to policies, then policy adjustments can be controlled and approved, but it requires significant time and effort, including validation and approval processes
Solution Approach 1:
The patent enables self-service by allowing subscribers to autonomously adjust their own QoS parameters within predefined boundaries. Subscribers can modify their data limits, speed settings, and priority levels through self-service interfaces without requiring technical specialist intervention, automated workflows, or manual approval processes, dramatically reducing policy adjustment time while maintaining system reliability through predefined constraints.
3Stability of the object's composition
If users are unable to temporarily increase their quality of service, then policy stability is maintained, but subscribers cannot customize their service levels based on individual needs
Solution Approach 1:
The patent implements dynamics by enabling subscribers to flexibly adjust their QoS parameters in real-time based on current needs and usage patterns. Subscribers can temporarily increase data limits, adjust speed thresholds, or change priority levels as conditions change, while the system dynamically updates their individual profiles without affecting the overall policy framework or other subscribers, maintaining both stability and adaptability.
Data Source
AI summary
A policy adjustment system changes a quality of service attribute for a user device without affecting the policy applied to the user device. The policy adjustment system applies a policy to a plurality of user devices, the policy defining one or more quality of service attributes. The policy adjustment system receives an indication that a quality of service attribute should be changed for a user device. The policy adjustment system changes the quality of service attribute for the user device without affecting the quality of service attributes for the other user devices for which the policy is applied.