Network Node Time Offset Management via Mobility Profile
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Solution Overview
Problem
Current wireless communication systems lack a dynamic mechanism to account for user equipment mobility when managing time offset measurements, leading to potential inaccuracies in target cell identification during mobility procedures.
Innovation Solution
A method and network node configuration that obtain user equipment time offset measurements and mobility profiles to adapt parameters for detecting uplink signals, ensuring measurement reliability by accounting for expected mobility behavior, and sending indications to target nodes to adjust detection parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user equipment time offset measurement is used for target cell identification during mobility procedures, then mobility support is improved, but measurement accuracy deteriorates due to user equipment mobility
Solution Approach 1:
The source RNC calculates an expected time offset value in advance based on the UE mobility profile before the handover is executed. This preliminary calculation allows the target RNC to have an accurate reference value ready when the UE arrives, compensating for the time that would otherwise have passed and caused measurement inaccuracy.
Solution Approach 2:
The UE mobility profile acts as an intermediary that bridges the gap between the source RNC's knowledge of UE movement characteristics and the target RNC's need for accurate time offset prediction. This intermediary information allows the system to anticipate and compensate for measurement inaccuracies caused by UE mobility.
2Device complexity
If static time offset measurement is used, then measurement simplicity is improved, but reliability deteriorates due to changing mobility conditions
Solution Approach 1:
The system transitions from a static time offset measurement approach to a dynamic one by incorporating the UE mobility profile. The mobility profile contains dynamic characteristics such as velocity and direction that allow the time offset to be adjusted based on current mobility conditions, thereby maintaining reliability without excessive complexity.
Solution Approach 2:
The system changes the parameter used for time offset calculation from a static measured value to a dynamically calculated expected value based on mobility profile parameters (velocity, direction, timing). This parameter change allows the system to adapt to varying mobility conditions while maintaining a relatively simple overall structure.
Data Source
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AI summary
Example embodiments presented herein are directed towards a network node (401A, 401B) (e.g., a source or target base station), and corresponding method therein, for managing a user equipment time offset measurement by accounting for a user equipment mobility profile. The management may involve a source network node (401A) delaying or preventing the sending of a user equipment timing offset measurement to a target network node (401B) or sending an indication or a reliability of the user equipment timing offset measurement. The network node (401A, 401B) may further apply a compensation to the user equipment timing offset measurement to account for an expected behavior of the user equipment based on the mobility profile. The network node (401A, 401B) may also adapt an uplink search window based on the user equipment mobility profile.