User Interaction Overlay for Wireless Network Analytics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current big data analytics in wireless networks are ineffective in providing user-specific insights, leading to increased computational burdens as data volumes grow, especially with new radio technologies, necessitating improved network analytics techniques.
Innovation Solution
Implementing user-specific network analytics by establishing a user interaction overlay on user equipment (UE) to capture and forward user interaction data, which triggers targeted network analytics, reducing network load and focusing on specific application goals, independent of protocol or operating system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If big data analytics are performed on large scale to improve subscriber experience, then comprehensive insights are obtained, but computational burden and network load increase significantly
Solution Approach 1:
The patent segments the analytics processing by dividing it into two parts: (1) event detection and initial filtering performed locally at network elements close to the data sources, and (2) higher-level analytics performed at a centralized analytics platform. This segmentation reduces the computational burden on individual network elements while maintaining comprehensive analytics capabilities.
Solution Approach 2:
The patent extracts and filters out only the most relevant events and data from the massive data stream before sending them to the centralized analytics platform. By taking out only essential information (filtered events, aggregated metrics) rather than processing all raw data centrally, the computational burden is significantly reduced while preserving key insights.
2Loss of information
If all available data is processed for analytics to maintain comprehensive monitoring, then complete network visibility is achieved, but network load and processing requirements increase
Solution Approach 1:
The patent applies preliminary actions by performing event detection, filtering, and aggregation at network elements before data reaches the centralized analytics platform. This preliminary processing reduces the volume of data requiring further analysis while ensuring that all relevant events are captured and properly contextualized.
Solution Approach 2:
The patent implements local quality by enabling each network element to perform localized event detection and filtering tailored to its specific function and data characteristics. This allows each element to optimize its processing for local conditions while contributing to overall network visibility, improving overall processing efficiency.
Data Source
AI summary
User-specific network analytics for application data services provided to user equipment (UEs) in a wireless network is disclosed herein. User interaction for an application data service and captured by an overlay on the UE triggers network analytics. The wireless network filters or otherwise controls the network analytics performed by the network node responsive to the trigger. In so doing, the user-specific network analytics disclosed herein decreases the network functions and analytics load at the network, and enables the network to focus on specific events, which enables the network to establish and support specific application goals.