UE QoE Report Segmentation for LTE-NR Congestion Control
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Solution Overview
Problem
The existing QoE measurement framework does not adequately address the complexities and granular control required for user equipment (UE) connectivity in networks that include both LTE and NR, lacking the necessary flexibility and control for quality of experience measurements.
Innovation Solution
The proposed solution involves methods for UEs and radio access network nodes to facilitate QoE measurements by requesting, segmenting, and sending QoE reports, along with availability indications and configurations for selective storage and transmission, to enhance control and prevent congestion and memory exhaustion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If QoE measurement reports are sent frequently and in full detail, then measurement precision and reliability are improved, but radio interface congestion and network overload occur
Solution Approach 1:
The QoE measurement report is divided into multiple segments that are transmitted separately over time. The network can request specific segments or combinations of segments, allowing controlled delivery that prevents radio interface congestion while ensuring complete measurement data is eventually received.
Solution Approach 2:
The reporting mechanism is made dynamic through network-controlled request initiation. The network can adaptively request reports based on current radio conditions, UE state, and network load, rather than using fixed periodic reporting, thus preventing congestion while maintaining measurement precision.
2Measurement precision
If QoE measurement reports are stored extensively in UE memory, then measurement precision and data completeness are improved, but UE memory exhaustion occurs
Solution Approach 1:
The network extracts only the necessary measurement segments from the UE at specific times based on current needs. Instead of requiring the UE to maintain all possible report data in memory, the network requests and retrieves only the segments required for current analysis, reducing UE memory burden while maintaining data completeness.
Solution Approach 2:
The UE can discard older or less critical measurement segments from memory after they have been requested by the network or when memory pressure occurs. The network recovers the essential measurement data through targeted requests, ensuring measurement precision is maintained while preventing memory exhaustion.
3Adaptability or versatility
If the existing QoE measurement framework is used, then implementation simplicity is maintained, but adaptability to LTE and NR networks and granular control are insufficient
Solution Approach 1:
The QoE measurement framework is designed to be universal across both LTE and NR networks. The same report segmentation and network-controlled request mechanism works in both network types, providing adaptability without requiring separate implementation frameworks, thus managing complexity while enhancing versatility.
Solution Approach 2:
The framework allows flexible parameter configuration including segment size, reporting triggers, and selection criteria that can be adapted to different network conditions and requirements. This parameter flexibility provides granular control for network operators while maintaining a unified framework structure that works across LTE and NR.
Data Source
AI summary
Embodiments include methods for a user equipment (UE), particularly for performing quality of experience (QoE) measurements configured by a wireless network. Such methods include receiving, from a radio access network node (RNN) in the wireless network, a request for QoE measurement reports that are available at the UE and that are associated with one or more services provided by the UE application layer. Such methods also include sending one or more QoE measurement reports to the RNN in accordance with the request. Other embodiments include complementary methods for a RNN, as well as UEs and RNNs configured to perform such methods.