Timing Error Group Pair Priority Indications for Wireless Positioning
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Solution Overview
Problem
Timing errors associated with the processing of reference signals in wireless communication systems, such as 5G networks, can significantly impact the accuracy of location estimates, with small errors like 100 nanoseconds resulting in large positioning errors of up to 30 meters, due to physical and electrical constraints in wireless nodes like user equipment and base stations.
Innovation Solution
A method is introduced to provide and recommend timing error group pairs to wireless nodes, where a network server analyzes reference signal measurements and recommends optimal transmit and receive timing error groups to improve the accuracy of location estimates by determining variance values and providing these recommendations to the nodes for subsequent positioning sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If timing error groups are not optimized, then device complexity is reduced, but measurement precision deteriorates due to large positioning errors from small timing errors
Solution Approach 1:
The network server performs preliminary analysis of timing error group information from reference signal measurements before actual positioning sessions. By pre-determining optimal timing error groups and providing recommendations to wireless nodes in advance, the system prepares the best timing configurations beforehand, improving positioning accuracy without adding complexity during real-time operations
Solution Approach 2:
The system implements a feedback mechanism where the network server analyzes timing error group information from reference signal measurements, determines optimal timing error groups, and provides recommendations back to wireless nodes. This closed-loop feedback enables continuous optimization of positioning accuracy based on actual measurement performance
2Loss of time
If standard timing error processing is used, then device complexity is low, but loss of time occurs due to large positioning errors requiring re-measurement
Solution Approach 1:
The network server pre-determines optimal timing error groups before positioning sessions occur. By analyzing timing error group information in advance and providing recommendations to wireless nodes, the system eliminates the need for time-consuming re-measurements and corrections during actual positioning operations, reducing overall measurement latency
Solution Approach 2:
Wireless nodes automatically apply the recommended timing error groups provided by the network server without requiring manual intervention or complex real-time decision-making. The nodes self-configure their timing error groups based on the pre-analyzed recommendations, reducing positioning measurement latency while maintaining manageable complexity
Data Source
AI summary
Techniques are provided for signaling timing error group (TEG) updates for positioning. An example method for providing transmit and receive timing error group pairs to a wireless node includes obtaining a plurality of reference signal measurement values and associated timing error group information from the wireless node, selecting at least a first receive timing error group and a first set of transmit timing error groups based on the timing error group information associated with the plurality of reference signal measurement values, and providing an indication of the first receive timing error group and an indication of the first set of transmit timing error groups.