Core Network QoE Measurements for Automated QoS Policy Adjustment

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Solution Overview

Problem

Existing wireless communications systems face challenges in managing quality of experience (QoE) measurements, particularly in identifying and addressing issues associated with the core network nodes that affect user satisfaction, especially in high-bit-rate real-time services like video streaming, where intermittent quality degradation is bothersome.

Innovation Solution

The UE is configured to transmit QoE measurements, including indications of core network-related problems, to the core network node, along with relevant information such as current QoS policy, transport network bandwidth, and latency, enabling the core network node to adjust policies and improve QoE by modifying QoS and bandwidth settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If QoE measurements are collected and reported to identify core network issues, then user satisfaction and service quality improve, but network complexity and measurement management overhead increase

Engineering Contradiction:
ImproveQoE measurement accuracyVSAvoidmeasurement management complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a feedback mechanism where UEs report QoE measurements to the core network node, which then uses this information to identify issues and adjust policies. This closed-loop feedback system enables continuous improvement of service quality while maintaining manageable complexity through automated processing.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The core network node autonomously processes QoE measurements, identifies issues, and adjusts policies without requiring manual intervention. The system self-manages the complexity of measurement collection, analysis, and response, reducing the operational burden while maintaining high measurement accuracy.

Inventive Principle:
Principle #25Self-service

2Reliability

If real-time QoE monitoring is implemented for high-bit-rate services, then service quality degradation is reduced, but network overhead and processing requirements increase

Engineering Contradiction:
Improveservice quality stabilityVSAvoidnetwork processing power
Core Design Contradiction:
ReliabilityVSPower

Solution Approach 1:

The patent implements selective QoE measurement collection focused on specific parameters relevant to high-bit-rate services rather than comprehensive monitoring of all network functions. This partial action approach reduces processing power requirements while maintaining effective service quality monitoring and degradation prevention.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system performs preliminary QoE measurement collection and analysis at the UE level before reporting to the core network node. This preliminary processing reduces the amount of data that needs to be transmitted and processed in the core network, thereby reducing overall network processing power requirements while maintaining real-time monitoring effectiveness.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250301346A1Core network visible quality of experience (QOE) measurements
Publication Date: 2025.09.25 QUALCOMM INC
  • US20250301346A1 patent drawing
  • US20250301346A1 patent drawing
  • US20250301346A1 patent drawing

AI summary

Certain aspects of the present disclosure provide a method for wireless communications at a user equipment (UE). The UE may transmit capability information of the UE to a gNodeB (gNB). The capability information may indicate an ability of the UE to directly transmit quality of experience (QoE) measurements to a core network entity. The UE may measure and transmit first QoE measurements to the core network entity, in accordance with the capability information. The core network entity may determine and perform some actions (e.g., an update of quality of service (QOS) policy associated with the UE) based on the first QoE measurements.