Network Usage Analytics for Differentiated Data Services
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Solution Overview
Problem
Telecommunication service providers face challenges in maintaining high network quality of service across diverse customer bases and large geographic areas, with existing systems struggling to efficiently manage network infrastructure and service provisioning to meet varying demands without degrading service for other users.
Innovation Solution
A system that collects and analyzes network usage data at the byte or packet level to identify usage patterns, allowing for the creation of user segments and the provision of differentiated data services, including modified bandwidth allocation, to enhance quality of service while minimizing disruptions and optimizing infrastructure upgrades.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network service providers implement comprehensive quality of service management across diverse customer bases and large geographic areas, then network service quality improves, but system complexity and operational costs increase
Solution Approach 1:
The patent segments the network user base into distinct groups based on usage patterns, demographics, and behavior characteristics. This segmentation enables tailored quality of service policies for different user segments rather than uniform management, improving overall service quality while making the complex system more manageable through modular segment-based control
Solution Approach 2:
The patent implements local quality by providing differentiated quality of service parameters (bandwidth allocation, latency tolerance, priority levels) specific to each user segment's needs and characteristics. This allows optimized service delivery for each segment while maintaining overall network stability, resolving the contradiction between comprehensive quality management and system complexity
2Reliability
If network infrastructure is upgraded to meet diverse and varying demands, then service quality improves, but operational costs and infrastructure complexity increase
Solution Approach 1:
The patent implements dynamic quality of service provisioning that adapts to varying network conditions and user segment characteristics in real-time. This dynamic approach allows the network to optimize resource allocation and defer infrastructure upgrades until necessary, reducing operational costs while maintaining service quality through flexible, condition-based resource management
Solution Approach 2:
The patent changes operational parameters (bandwidth allocation, priority levels, traffic routing) based on user segment analysis and network conditions rather than physically upgrading infrastructure. This parameter-based optimization maintains service quality while avoiding the high costs of premature infrastructure upgrades
3Adaptability or versatility
If differentiated data services are provided to user segments, then customer satisfaction improves, but service provisioning complexity increases
Solution Approach 1:
The patent automatically segments users based on their usage patterns, demographics, and behavior characteristics, then applies appropriate quality of service policies to each segment. This automated segmentation process provides differentiated services that improve customer satisfaction while reducing provisioning complexity by eliminating manual intervention and using data-driven automatic classification
Solution Approach 2:
The system enables self-service by automatically analyzing user behavior data and assigning users to appropriate segments with corresponding service levels without manual provisioning. This self-organizing approach improves customer satisfaction through personalized service while reducing operational complexity by eliminating manual service configuration
Data Source
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AI summary
A system for discovery and analysis of network data usage of users of a communication network may collect information related to data usage over a network. The system may determine network data usage patterns for users from the data usage information. The network usage data, usage patterns and additional information may be analyzed to create user segments, and to analyze network data usage for the user segments. Differentiated data services may be created and implemented based on the network data usage for the user segments.