Gateway Device Inventory Analytics for Proactive Network Resource Management
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Solution Overview
Problem
It is difficult for telecommunication networks to determine how individual gateways are being used and how usage may change over time, making it challenging to allocate resources effectively.
Innovation Solution
Gateways collect device inventories and data usage patterns, sending this information to network elements to determine user profiles and proactively manage network resources based on these insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If gateways collect and report detailed device inventories and data usage patterns, then network resource management improves, but network complexity and data processing requirements increase
Solution Approach 1:
The patent introduces network elements as intermediaries between gateways and the core network. These network elements collect device inventory and usage pattern data from multiple gateways, process the information locally, and generate aggregated reports. This intermediary layer reduces the complexity burden on individual gateways while improving overall network resource management through centralized analysis.
Solution Approach 2:
The patent segments the network monitoring function into distributed components at gateways and centralized processing at network elements. Each gateway independently collects local device inventory and usage data, then reports to network elements which aggregate and analyze the information. This segmentation allows scalable deployment without overwhelming any single network component.
2Productivity
If the network proactively manages resources based on usage patterns, then network performance improves, but the amount of data collection and processing increases
Solution Approach 1:
The patent extracts only the essential features needed for resource management from the complete device inventory and usage data. Network elements identify and extract key patterns such as peak usage times, device types, and traffic volumes, then use these extracted features for proactive resource allocation. This extraction approach maintains high network performance while minimizing the volume of data that needs to be processed and stored.
Solution Approach 2:
The patent implements partial monitoring by focusing on the most critical usage patterns and device categories rather than tracking every individual data packet in detail. Network elements apply selective analysis to identify trends sufficient for resource management decisions, avoiding the excessive data collection that would be required for complete granular monitoring.
Data Source
AI summary
A gateway within a home or other environment can wirelessly connect to a telecommunication network. One or more user devices at the home or other environment can connect to the gateway, such that the user devices can access the Internet via the gateway's wireless connection to the telecommunication network. The gateway can determine a device inventory of the connected devices, as well as data usage patterns indicating how the user devices have been used. The gateway, and other gateways, can provide such device inventories and data usage patterns to the telecommunication network. The telecommunication network can use the device inventories and data usage patterns to determine user profiles and usage trends, and to determine network actions and/or recommendations.