XR QoE Reporting With Adaptive Sampling Under Uplink Congestion
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Solution Overview
Problem
Wireless communication networks face challenges in optimizing quality of experience (QoE) for extended reality (XR) and media (XRM) applications due to delays and resource constraints, particularly in uplink congested scenarios where QoE reports are prioritized lower than other messages, leading to reduced user experience.
Innovation Solution
The UE refrains from performing measurements, transmitting QoE reports, or discarding stale reports under specific conditions to optimize resource usage, and adapts sampling procedures based on XR scenarios and channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If QoE reports are transmitted frequently to improve quality of experience monitoring, then measurement precision is improved, but use of energy and processing resources deteriorates
Solution Approach 1:
The patent implements periodic sampling procedures where the UE performs QoE measurements at specific intervals rather than continuously. The network can configure different sampling periods and patterns, allowing the UE to measure and report QoE metrics periodically, which reduces energy consumption while maintaining adequate monitoring precision.
Solution Approach 2:
The patent introduces dynamic adaptation of sampling procedures based on network conditions, XR scenario types, and QoE report priorities. The UE can adjust measurement frequency and reporting behavior dynamically, increasing precision when needed and reducing energy consumption when conditions permit less frequent reporting.
2Reliability
If QoE reports are prioritized in uplink transmission to improve user experience, then reliability of QoE monitoring is improved, but productivity of uplink resource usage deteriorates due to congestion
Solution Approach 1:
The patent assigns different priority levels to different types of uplink messages based on their importance. QoE reports can be configured with specific priority values that differ from other uplink traffic types. This allows the network to locally optimize transmission handling for QoE reports without compromising overall uplink productivity, as only specific message types receive prioritized treatment.
Solution Approach 2:
The patent utilizes QoS parameters such as 5QI (5G QoS Identifier) and priority levels to differentiate QoE report traffic from other uplink traffic. By changing these parameters dynamically based on XR scenario and network conditions, the system can ensure reliable QoE report delivery while maintaining efficient overall uplink resource utilization.
3Measurement precision
If sampling frequency is increased to improve QoE measurement accuracy, then measurement precision is improved, but loss of energy increases
Solution Approach 1:
The patent implements periodic sampling where measurements are taken at configured intervals rather than continuously. The sampling period can be adjusted based on XR scenario requirements, allowing the system to achieve adequate measurement accuracy while minimizing energy consumption from frequent measurement operations.
Solution Approach 2:
The patent applies partial sampling procedures where the UE measures only a subset of available QoE metrics or samples at reduced frequency when full precision is not required. This partial action approach maintains acceptable measurement accuracy while significantly reducing the energy loss associated with comprehensive frequent measurements.
Data Source
AI summary
The techniques described herein can include solutions for mobile-assisted quality of experience (QoE) optimization for with extended reality (XR) and media (XRM). In some examples, a user equipment (UE) can receive, from a base station, an indication of periodicity for generating a QoE report associated with XRM traffic, the QoE report including QoE measurements and the periodicity spanning at least one sampling period for obtaining the QoE measurements. The UE can select, based on the XRM traffic, a sampling procedure for obtaining the QoE measurements, and obtain the QoE measurements during the at least one sampling period. The UE can generate the QoE report based on the QoE measurements. In some examples, the UE can transmit the QoE report to the base station. The base station can receive the QoE report and adjust network parameters accordingly.