Data Stream Handover Indication for Communication Continuity
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Solution Overview
Problem
Existing wireless communication systems face challenges in minimizing communication interruptions during handovers, particularly when user equipment (UE) is transmitting or receiving data streams, which can disrupt ongoing applications like extended reality (XR) or real-time video communications.
Innovation Solution
Implementing techniques in both user equipment (UE) and application servers to detect impending handovers and apply parameters to manage data streams, reducing the impact of communication interruptions through optimized handover processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If handover is performed to maintain connection quality, then mobility is improved, but communication interruption occurs disrupting data streams
Solution Approach 1:
The system performs preliminary actions by detecting handover likelihood in advance and notifying the application server before the actual handover occurs. This allows the server to prepare mitigation strategies such as adjusting data stream parameters or buffering data, thereby reducing communication interruption impact while maintaining fast handover execution.
2Productivity
If data stream transmission continues during handover, then productivity is maintained, but communication interruption degrades quality
Solution Approach 1:
The system changes transmission parameters dynamically based on handover detection. The application server receives notification of impending handover and adjusts data stream parameters such as bitrate, resolution, or buffering depth to minimize the impact of communication interruption, thereby maintaining productivity while reducing quality degradation.
Solution Approach 2:
The system maintains continuity of useful action by keeping the data stream transmission active during handover rather than pausing it. The notification mechanism allows the server to continue transmitting data while implementing mitigation strategies, ensuring uninterrupted service delivery despite the ongoing handover process.
3Reliability
If handover detection and notification mechanisms are implemented, then data stream continuity is improved, but device complexity increases
Solution Approach 1:
The system implements a feedback mechanism where the UE detects handover likelihood and sends notification to the application server, which then responds with parameter adjustments or mitigation actions. This closed-loop feedback approach improves data stream continuity while managing complexity through standardized signaling protocols and automated responses.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, an application server may receive an indication that a handover is likely for a user equipment (UE), wherein the UE is in communication with the application server to receive a data stream. The application server may provide the data stream using values of one or more parameters to reduce an impact of a communication interruption associated with the handover. Numerous other aspects are described.