Subscriber Revenue Management Module for Network Billing Optimization
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Solution Overview
Problem
Current communication network systems face inefficiencies in managing subscriber access and billing due to the need for multiple record copies across various network components, leading to increased infrastructure costs, bandwidth requirements, and potential revenue losses from missed or fraudulent service usage.
Innovation Solution
A User Equipment (UE) with a revenue management module that profiles subscriber behavior using summarization rules, performs actions based on network events, and sends information to the network operator to optimize service management and revenue assurance, including fraud detection and billing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple copies of subscriber records are maintained across network components, then service monitoring and billing accuracy are improved, but infrastructure costs and storage requirements increase
Solution Approach 1:
The patent extracts the record storage function from multiple network components and consolidates it into a centralized data warehouse. Only essential service usage information is extracted and stored centrally, while local components retain only the information needed for immediate service delivery, eliminating redundant storage across the network.
Solution Approach 2:
The patent merges multiple distributed record storage locations into a single centralized data warehouse. Instead of maintaining separate copies in rating, billing, fraud, and revenue assurance systems, all records are consolidated in one location, reducing total storage requirements while maintaining data availability through centralized access.
2Stability of the object's composition
If multiple copies of subscriber records are synchronized across network components, then data consistency is improved, but bandwidth requirements and network load increase
Solution Approach 1:
The patent extracts the data synchronization function and replaces it with centralized data storage. Instead of continuously syncing records across multiple components, the system extracts only the necessary service usage information to the data warehouse, eliminating the need for ongoing synchronization traffic.
Solution Approach 2:
The data warehouse acts as an intermediary central repository that all network components access for subscriber information. Instead of components directly syncing with each other (creating multiple synchronization paths), the data warehouse serves as a single mediator that provides consistent data to all users, eliminating synchronization conflicts and reducing network load.
3Device complexity
If service usage is analyzed after subscriber avails service, then billing processing is simplified, but revenue loss from missed or fraudulent usage increases
Solution Approach 1:
The patent implements preliminary action by collecting and storing service usage information in the data warehouse at the time of service usage, rather than waiting for post-service analysis. This allows real-time detection of fraudulent usage patterns and ensures revenue assurance while maintaining simplified billing processing, as the data is already prepared and validated when needed.
4Reliability
If comprehensive subscriber monitoring is implemented across the network, then fraud detection capability is improved, but system complexity and processing overhead increase
Solution Approach 1:
The patent merges fragmented monitoring functions across multiple network components into a unified monitoring system that operates on the centralized data warehouse. Instead of separate monitoring mechanisms in rating, billing, and fraud systems, a single comprehensive monitoring framework analyzes all subscriber data in one location, improving fraud detection while reducing overall system complexity.
Data Source
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AI summary
Method and system for revenue maximization in a communication network. This invention relates to management of communication networks and more particularly to monitoring information of a subscriber of a communication network. Embodiments herein enable the network operator to collect and profile usage information of a subscriber on a User Equipment (UE) with the intention of using the information for revenue maximization applications and preventing fraud for a network operator, wherein revenue maximization applications include but are not limited to fraud management, revenue assurance, churn management, customer experience management, credit risk management and partner settlement.