UE Delay Reporting for XR Uplink Latency Scheduling
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Solution Overview
Problem
Current scheduling in uplink for XR services lacks accurate latency information, as existing buffer status reports only provide data volume without timing details, leading to inefficient resource allocation and QoS issues.
Innovation Solution
UEs report delay information including remaining times and associated time points to network devices, enabling accurate determination of service latency for better resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a current BSR (buffer status report) is used to provide data volume information, then the network device can know the size of buffered data, but the network device cannot accurately know the buffering time or latency information of the data in the UE
Solution Approach 1:
The patent segments the delay information into multiple components: a first remaining time (deadline relative to current time) and a second remaining time (deadline relative to transmission time). This segmentation allows the network device to accurately determine both the current latency state and the future transmission timing, resolving the information loss while maintaining manageable report structure complexity
Solution Approach 2:
The patent adds a temporal dimension to the traditional BSR by incorporating time point information (first time point and second time point) alongside the data volume information. This dimensional expansion transforms the report from a single-point-in-time volume indicator to a multi-dimensional latency-aware report, enabling accurate latency determination without excessive complexity
2Productivity
If delay information is transmitted to the network device, then the network device can allocate resources more efficiently, but the delay information may become outdated before being received and processed
Solution Approach 1:
The patent applies preliminary action by having the UE determine and prepare the delay information (first remaining time, second remaining time, and associated time points) before transmission occurs. The UE calculates these values based on current buffering state and deadlines, ensuring that when the information is transmitted and received, the network device already has the data needed for immediate efficient resource allocation without time loss
Solution Approach 2:
The patent implements feedback mechanisms where the UE continuously monitors its buffering state and transmits delay information reports to the network device. This feedback loop ensures that the network device receives updated latency information at appropriate intervals, maintaining information freshness while enabling proactive resource allocation decisions that improve productivity
3Measurement precision
If the UE reports detailed delay information including time points and remaining times, then the network device can accurately determine service latency, but the reporting overhead and processing complexity increase
Solution Approach 1:
The patent applies local quality by providing different levels of detail for different time parameters: the first remaining time and first time point are provided for current latency assessment, while the second remaining time and second time point are provided for future transmission planning. This localized quality approach ensures high measurement precision where needed without uniformly increasing complexity across all information elements
Data Source
AI summary
An information processing apparatus, configured in a terminal equipment, includes: processor circuitry configured to trigger delay information report; and a transmitter configured to transmit the delay information to a network device, the delay information comprising a first remaining time and a first time point associated with the first remaining time, and/or, the delay information comprising a second remaining time, the second remaining time being a second deadline and/or a time associated with a second time point.