Multi-Modal Data Flow Synchronization With Closed-Loop Delay Control
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Solution Overview
Problem
Existing systems struggle to synchronize multi-modal data flows in wireless communication networks, leading to asynchronous delivery of audio, video, and haptic data, which negatively impacts the user experience by causing delays and synchronization issues.
Innovation Solution
A device, such as a wireless transmit/receive unit (WTRU), receives synchronization information to determine data flows and measure their synchronization using flow classifiers and a synchronization threshold, sending messages to network nodes to request synchronization or apply delays to ensure data flows are within a specified threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-modal data flows are transmitted independently without synchronization mechanisms, then transmission simplicity is maintained, but synchronization accuracy deteriorates causing asynchronous delivery of audio, video, and haptic data
Solution Approach 1:
The patent implements a feedback mechanism where the WTRU measures synchronization between data flows and sends synchronization status messages to the network. The network node receives these messages and applies corrections by delaying specific data flows to achieve synchronization. This closed-loop feedback system continuously monitors and adjusts flow synchronization, resolving the contradiction between maintaining simplicity and achieving accurate synchronization.
Solution Approach 2:
The network node acts as an intermediary that receives synchronization status from the WTRU and applies necessary delays to data flows. This intermediary mechanism coordinates between the WTRU and the network infrastructure, enabling synchronization without requiring complex changes at the WTRU level alone, thus balancing simplicity and accuracy.
2Reliability
If data flows are delayed to achieve synchronization, then synchronization accuracy improves, but transmission time increases causing delays
Solution Approach 1:
The patent applies partial action by only delaying data flows that are out of synchronization rather than delaying all flows uniformly. The network node selectively applies delays based on synchronization status messages, delaying only the minimum necessary time to bring asynchronous flows into alignment. This approach achieves synchronization accuracy while minimizing overall transmission time loss.
3Reliability
If synchronization measurement and correction mechanisms are implemented, then synchronization accuracy improves, but processing complexity increases
Solution Approach 1:
The patent segments the synchronization function into distinct components: the WTRU performs measurement and reporting, while the network node performs correction and delay application. This segmentation divides the complex synchronization task into manageable parts, with each entity responsible for specific functions, reducing the processing complexity burden on any single device while maintaining high measurement accuracy.
Data Source
AI summary
A device for synchronizing multi-modal flows may receive synchronization information associated with a protocol data unit (PDU) session. The synchronization information may indicate a first flow classifier, a second flow classifier, and a synchronization threshold. A first data flow may be determined based on the first flow classifier. A second data flow may be determined based on the second flow classifier. The first data flow and the second data flow may be associated with the PDU session. A synchronization measurement may be determined based on the synchronization information. The synchronization measurement indicates a synchronization value indicative of synchronization between the first data flow and the second data flow. The device may determine that the first data flow and the second data flow are asynchronous based on the synchronization measurement.