Terminal Reconfiguration Timing for XR Data-Burst Continuity
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Solution Overview
Problem
Current communication technologies in extended reality (XR) fail to optimize reconfiguration operations such as handovers and SCG changes based on data-burst phases, leading to unnecessary delays or data losses that affect user experience.
Innovation Solution
Implementing conditional reconfiguration operations in terminal devices and network devices that consider data transfer status conditions, such as DRX group endings, application-layer playout buffer thresholds, and PDU set completion, to optimize the timing of reconfigurations like handovers and SCG changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If reconfiguration operations are performed immediately upon receiving reconfiguration messages, then network response speed is improved, but service disruption and data loss increase due to data transfer status conflicts
Solution Approach 1:
The terminal device performs preliminary actions by evaluating reconfiguration performing conditions (such as DRX group status, playout buffer status, and PDU set completion status) before executing the reconfiguration operation. This preliminary evaluation allows the system to prepare for optimal reconfiguration timing, avoiding service disruption while maintaining network responsiveness.
Solution Approach 2:
The system dynamically adjusts reconfiguration timing based on real-time data transfer status conditions. Instead of fixed immediate execution or delayed execution, the reconfiguration operation is performed dynamically when conditions indicate optimal timing, such as when DRX group has ended or playout buffer is full, thereby balancing speed and reliability.
2Reliability
If reconfiguration operations are delayed to avoid service disruption, then service continuity is improved, but reconfiguration timing accuracy deteriorates
Solution Approach 1:
The network device performs preliminary actions by evaluating whether reconfiguration performing conditions are met before sending the reconfiguration message to the terminal device. This preliminary condition evaluation ensures that reconfiguration is scheduled at optimal times, minimizing both service disruption and unnecessary delays.
Solution Approach 2:
The system implements feedback mechanisms where the terminal device reports its data transfer status (including DRX group status, playout buffer status, and PDU set completion status) to the network device. This feedback enables the network to make informed decisions about optimal reconfiguration timing, balancing service continuity with timing accuracy.
3Productivity
If reconfiguration operations are performed during active data transfer, then network resource utilization is improved, but data loss increases due to buffer overflow
Solution Approach 1:
The terminal device performs preliminary actions by checking playout buffer status and PDU set completion status before executing reconfiguration. This preliminary check ensures that reconfiguration is performed when buffers are in safe states, preventing data loss while maintaining network resource utilization during appropriate time windows.
Solution Approach 2:
The system changes operational parameters based on data transfer status conditions. When playout buffer is full or PDU set is completed, the system changes the reconfiguration timing parameter to perform reconfiguration at these specific moments, thereby avoiding data loss while maintaining efficient network resource utilization.
Data Source
AI summary
Embodiments of the present disclosure disclose devices, methods and apparatuses for reconfiguration control. A terminal device receives, from a first network device, indication information on at least one reconfiguration performing condition related to data transfer status regarding one or more applications. Then, the terminal device performs a reconfiguration operation based on determining that the at least one reconfiguration performing condition is fulfilled. In this way, the terminal device may perform reconfiguration with an optimized execution time, thereby minimizing service disruption.


