Network Exposure Function for UE-Specific QoS Configuration
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Solution Overview
Problem
Existing radio access networks face challenges in optimizing network configuration and resource management to provide granular, UE-specific quality of service and connectivity based on diverse radio access technologies and frequency bands, lacking effective external control mechanisms.
Innovation Solution
A UE Policy System (UEPS) communicates with network elements to receive granular analytics and monitoring information, enabling it to determine and implement UE-specific network configuration modifications, such as QoS parameters and RAN access policies, using AI/ML models and external sources to optimize network operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional network configuration methods are used, then network operations can be maintained with basic functionality, but granular UE-specific quality of service and connectivity optimization cannot be achieved
Solution Approach 1:
The patent segments network configuration control into UE-specific policy modules that can be independently managed and applied to individual user equipment. The UE Policy System divides granular QoS parameters, RAN access policies, and connectivity configurations into separate controllable units, enabling precise per-UE optimization without overwhelming overall system complexity.
Solution Approach 2:
The UE Policy System acts as an intermediary between external sources (such as application functions, network operators, or third-party services) and the core network elements. This mediator receives analytics and monitoring information from external sources, processes UE-specific requirements, and translates them into appropriate network configuration modifications, thereby achieving granular control while managing complexity through a centralized policy interface.
2Adaptability or versatility
If external control mechanisms are added to enable granular network configuration, then UE-specific optimization capability improves, but system complexity increases
Solution Approach 1:
The UE Policy System is designed as a universal multi-functional platform that handles diverse external control requirements through a single integrated architecture. It can process analytics from multiple external sources, manage various types of QoS parameters, RAN policies, and connectivity configurations, and interface with different network elements all through one system, thereby reducing overall architectural complexity despite enhanced control capabilities.
Solution Approach 2:
The system enables dynamic parameter changes in network configuration based on external inputs and UE-specific conditions. The UE Policy System modifies QoS parameters, access policy parameters, and connectivity parameters in real-time according to analytics data and monitoring information, allowing flexible adaptation without requiring complex permanent architectural changes for each scenario.
3Measurement precision
If granular analytics and monitoring information are collected from multiple sources, then UE-specific network optimization accuracy improves, but information processing complexity increases
Solution Approach 1:
The UE Policy System extracts only the essential and relevant analytics and monitoring information from multiple external sources needed for UE-specific optimization. Rather than processing all available data in its entirety, the system identifies and extracts key parameters such as QoS metrics, connectivity status, and usage patterns that directly impact network configuration decisions, thereby reducing processing complexity while maintaining optimization accuracy.
Solution Approach 2:
The system implements feedback mechanisms where collected analytics and monitoring information are continuously processed, and the resulting policy decisions are applied and monitored. This closed-loop feedback approach allows the UE Policy System to refine its information processing over time, focusing on the most impactful parameters and adjusting its data collection and processing strategies based on actual network performance and UE-specific outcomes.
Data Source
AI summary
A system described herein may receive monitoring information associated with a plurality of User Equipment (“UEs”) that receive service via a wireless network. The system may identify, based on the received monitoring information, a particular set of network configuration parameters to implement with respect to service provided to a particular UE, of the plurality of UEs, via the wireless network. The system may provide, to the wireless network, the identified set of network configuration parameters. Providing the identified set of network configuration parameters may include providing an identifier of the particular UE. One or more elements of the wireless network may implement the provided set of network configuration parameters, which may include modifying parameters of the service provided to the particular UE.