Dynamic Subscriber Provisioning via Location Detection
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Solution Overview
Problem
Existing subscriber provisioning methods in communication networks are time-consuming and labor-intensive, often requiring manual intervention and resulting in increased network traffic and operational costs due to the need for manual updates when a subscriber moves locations.
Innovation Solution
The system automatically detects changes in subscriber location and dynamically provisions the subscriber to the appropriate regional customer profile repository based on predefined criteria, such as time elapsed or network preferences, reducing the need for manual interaction and minimizing network traffic by routing requests directly to the nearest regional repository.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual subscriber provisioning is used, then service accuracy is maintained, but provisioning time and labor costs increase
Solution Approach 1:
The system enables self-service through automatic detection of subscriber location changes and autonomous provisioning actions. The subscriber profile is automatically updated when location changes are detected, eliminating the need for manual intervention while maintaining service accuracy through predefined provisioning rules and criteria.
Solution Approach 2:
The system performs preliminary actions by pre-configuring provisioning rules and criteria before location changes occur. When a subscriber moves to a new location, the system has already established the appropriate provisioning parameters and can immediately apply them, reducing provisioning time while ensuring service accuracy.
2Reliability
If manual updates are performed when subscribers move locations, then provisioning accuracy is maintained, but network traffic and operational costs increase
Solution Approach 1:
The system applies local quality by routing subscriber requests directly to the nearest regional repository based on the subscriber's current location. This localized approach reduces network traffic by eliminating unnecessary remote communications while maintaining provisioning accuracy through location-specific repository selection.
Solution Approach 2:
The system uses feedback mechanisms to automatically detect location changes and trigger appropriate provisioning actions. By continuously monitoring subscriber location and providing feedback to the provisioning system, it maintains accuracy while reducing manual updates and associated network traffic.
3Productivity
If dynamic provisioning is implemented, then operational efficiency improves, but system complexity increases
Solution Approach 1:
The system reduces complexity through segmentation by dividing the provisioning system into modular components: location detection modules, rule evaluation modules, and execution modules. Each component performs a specific function, making the overall dynamic provisioning system more manageable and maintainable while preserving operational efficiency.
Data Source
AI summary
Systems and methods to dynamically provision subscribers in a network are disclosed herein. An example method to provision a subscriber in a communication network includes detecting that a location of the subscriber has changed from a first location to a second location, instructing a first customer profile repository to transfer a customer profile associated with the subscriber to a second customer profile repository corresponding to the second location in response to detecting the location change, and provisioning the customer profile at the second customer profile repository.