End-to-End Latency Measurement for Wireless Data Synchronization
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Solution Overview
Problem
Wireless communications face challenges in maintaining symmetry between uplink and downlink latencies, leading to incorrect data comparison due to differing latencies in uplink and downlink channels.
Innovation Solution
Devices determine an end-to-end latency and modify parameters to improve symmetry between uplink and downlink latencies, ensuring data comparison occurs at the same time by adjusting channel latencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wireless devices use conventional latency measurement methods, then device complexity is reduced, but measurement precision is insufficient to achieve accurate end-to-end latency determination
Solution Approach 1:
The latency measurement procedure is divided into multiple phases: setup phase, measurement phase, and processing phase. Each phase has specific responsibilities and actions, allowing complex measurement to be broken down into manageable segments that can be executed systematically by wireless devices and network elements.
Solution Approach 2:
A latency measurement message is introduced as an intermediary carrier to transport measurement information between wireless devices and network elements. This message structure enables precise latency determination without requiring direct complex interactions between all devices, simplifying the overall measurement architecture.
2Measurement precision
If uplink and downlink latency are not equalized, then device complexity is reduced, but data comparison accuracy deteriorates due to comparing data at different time points
Solution Approach 1:
The system calculates end-to-end latency and provides feedback information to network elements and devices. This feedback enables dynamic adjustment of uplink and downlink latency parameters, allowing the system to equalize latencies and ensure data comparison accuracy without requiring complex manual configuration.
Solution Approach 2:
The system modifies latency parameters dynamically based on measured end-to-end latency values. By adjusting transmission time parameters in the network elements, the system achieves latency equalization between uplink and downlink channels, enabling accurate data comparison at the same time point.
3Reliability
If end-to-end latency is not measured and equalized, then system complexity is reduced, but synchronization quality deteriorates leading to incorrect data comparison
Solution Approach 1:
The system performs preliminary latency measurement and calculation before actual data transmission and comparison. By determining end-to-end latency in advance and using this information to configure transmission parameters, the system ensures that data will be synchronized correctly without requiring complex real-time adjustment mechanisms.
Data Source
Figure 1A~1B
Figure 2A~2D
Figure 3
AI summary
End-to-end latency measurements for synchronization are described. A first wireless device may determine an uplink latency associated with sending communications to a second wireless device. The first wireless device may determine a downlink latency associated with receiving communications from the second wireless device. Based on the uplink latency being different from the downlink latency, the first wireless device, the second wireless, and/or a base station may perform an alignment (e.g., time-based alignment, channel-based alignment) to modify and/or adjust one or more parameters to make the uplink latency equivalent to the downlink latency.