UE-Guided Measurement Gap Scheduling for Low-Latency Traffic
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Solution Overview
Problem
Measurement gaps in wireless communication systems cause delays in data transfer, particularly for critical traffic types like extended reality (XR) and ultra-reliable low-latency communication (URLLC), due to misaligned periodicities and lack of UE-specific information at the network node, leading to sub-optimal scheduling configurations.
Innovation Solution
User equipment (UE) determines a measurement gap scheduling configuration based on UE-specific information such as buffer size, delay status, and mobility status, and transmits an indication to the network node, which adjusts its scheduling configuration accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement gaps are scheduled for UE measurements, then measurement accuracy is improved, but data transfer delay increases
Solution Approach 1:
The measurement gap scheduling configuration is made dynamic by allowing the UE to select and indicate its preferred configuration to the network node. The network node then adjusts the final configuration based on both UE preferences and network conditions, enabling the system to adaptively balance measurement accuracy requirements against data transfer delay constraints rather than using fixed scheduling
Solution Approach 2:
The invention changes the scheduling parameters by introducing UE-specific measurement gap configurations with different periodicities and time patterns. The UE can indicate its preferred configuration parameters based on its measurement needs and traffic characteristics, allowing optimization of the balance between measurement accuracy and data transfer performance
2Extent of automation
If network node schedules measurement gaps, then network control is improved, but scheduling optimality deteriorates due to lack of UE-specific information
Solution Approach 1:
The UE provides feedback to the network node by indicating its preferred measurement gap scheduling configuration based on UE-specific information such as buffer status, delay sensitivity, and measurement requirements. The network node uses this feedback to adjust and finalize the scheduling configuration, ensuring both network control and scheduling optimality are achieved
Solution Approach 2:
The UE performs preliminary analysis of its own traffic characteristics and measurement needs to determine its preferred measurement gap configuration before the network node makes the final scheduling decision. This preliminary action by the UE provides the network node with valuable information to make an optimal scheduling decision that considers both network and UE-specific factors
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit a first indication of a UE-selected measurement gap scheduling configuration. The UE may receive a second indication of a network node selected measurement gap scheduling configuration that is based at least in part on the UE-selected measurement gap scheduling configuration. Numerous other aspects are described.


