Service Authorization Timing for Product Quota Validity Control
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Solution Overview
Problem
The existing methods for service authorization in telecommunication networks face challenges due to speculative provisioning of products, leading to high memory requirements and increased risk of revenue loss when the time gap between service authorization and actual usage is long.
Innovation Solution
Implementing a pre-execution time window for service authorization requests to adjust the validity period of granted service quotas, ensuring subsequent requests are received within this window, thereby controlling the timing of speculative product provisioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If products are pre-provisioned in the subscriber database to cover future usage periods, then service authorization can be performed efficiently, but memory requirements and storage burden increase significantly
Solution Approach 1:
The system performs preliminary service authorization by speculatively generating products and provisioning them in advance based on predicted future usage. This allows the network to prepare authorization records before actual service consumption occurs, improving authorization efficiency while avoiding the need to store all possible future product combinations
Solution Approach 2:
The system dynamically adjusts product validity periods and usage parameters based on predicted consumption patterns. By changing the temporal parameters of product validity (e.g., extending or shortening validity periods), the system optimizes both authorization efficiency and memory utilization, provisioning products only for the necessary duration rather than storing fixed long-term allocations
2Loss of time
If the validity period for service quotas is extended to cover long-term usage, then fewer authorization requests are needed, but the risk of revenue loss increases due to changes in usage patterns
Solution Approach 1:
The system implements dynamic validity period adjustment where product authorization records are automatically renewed or extended based on real-time monitoring of usage patterns. This dynamic approach maintains long-term coverage (reducing authorization frequency) while ensuring revenue protection by adapting to actual consumption behavior rather than relying on static long-term predictions
Solution Approach 2:
The system continuously monitors actual service usage against predicted patterns and uses this feedback to adjust future product provisioning decisions. When usage patterns deviate from predictions, the system adapts by modifying validity periods and provisioning strategies, thereby maintaining both operational efficiency and revenue assurance through continuous learning and adjustment
3Device complexity
If speculative product provisioning is performed far in advance of usage, then system load is reduced at peak times, but the accuracy of usage pattern predictions decreases
Solution Approach 1:
The system performs speculative product provisioning at multiple periodic intervals rather than once in advance. By continuously generating and refreshing product records at regular intervals based on updated usage patterns, the system distributes system load smoothly over time while maintaining prediction accuracy through frequent recalibration of provisioning decisions
Data Source
AI summary
Systems and methods are provided for performing service authorization for a product-related service to a subscriber in a communication network. If the service authorization request for the subscriber is received prior to a beginning of a pre-execution time window, and if the service authorization request corresponds to a scheduled service recurrence, then a validity period for a granted service quota is adjusted to ensure that a subsequent service authorization request for the subscriber will be received within the pre-execution time window. Use of the service by the subscriber with respect to one or more products is then authorized, wherein any given product has a coverage limit which covers a defined amount of service usage within the validity period.


