Timing Advance Validation via Neighbor Cell Measurements
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Solution Overview
Problem
In 5G wireless systems, maintaining valid timing advance (TA) alignment is challenging due to beamforming disruptions, which can lead to incorrect detection of TA validity using serving cell RSRP-based methods, resulting in potential interference with adjacent sub-frames.
Innovation Solution
A method involving network-controlled neighbor cell measurements to validate TA by comparing measurement data from a serving cell with multiple neighbor cells, using relative RSRP and TOA differences to determine TA validity, ensuring robustness against mobility and beamforming effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If serving cell RSRP-based TA validation method is used, then TA validity can be determined, but beamforming disruptions cause incorrect detection of TA validity
Solution Approach 1:
The patent divides the TA validation process into multiple independent validation dimensions by introducing neighbor cell measurements. Instead of relying on a single serving cell RSRP measurement that is vulnerable to beamforming disruptions, the system segments the validation into: (1) serving cell RSRP change detection, (2) neighbor cell RSRP change detection, and (3) TOA difference change detection. Each dimension provides independent validation evidence, and the combined result determines TA validity, thereby reducing the impact of beamforming disruptions on validation accuracy.
Solution Approach 2:
The patent introduces neighbor cell measurements as intermediary elements to validate TA status. Neighbor cells act as mediators that provide reference information for detecting UE movement and beamforming effects. By comparing RSRP and TOA differences between serving and neighbor cells, the system obtains indirect but more reliable indicators of TA validity that are less susceptible to direct beamforming disruptions affecting the serving cell measurements.
2Reliability
If neighbor cell measurements are introduced for TA validation, then TA validity detection becomes more robust against mobility and beamforming effects, but measurement and processing complexity increases
Solution Approach 1:
The patent applies partial action by selectively measuring and validating only specific parameters (RSRP and TOA differences) rather than all possible measurement parameters. It measures RSRP changes in serving and neighbor cells, plus TOA difference changes, which provides sufficient validation evidence without requiring exhaustive measurements. This selective approach achieves robust TA validation while controlling measurement and processing complexity to acceptable levels.
Solution Approach 2:
The patent implements feedback mechanisms where measurement results from serving and neighbor cells are continuously monitored and fed back into the TA validation decision process. The validation algorithm dynamically adjusts its conclusions based on the feedback from multiple measurement dimensions, allowing the system to maintain high reliability while managing complexity through intelligent decision-making rather than exhaustive measurements.
3Measurement precision
If multiple neighbor cells are measured for TA validation, then validation accuracy improves, but measurement time and processing resources increase
Solution Approach 1:
The patent applies partial action by focusing measurements on the most critical parameters (RSRP and TOA differences) rather than all possible parameters. It selects a representative sample of neighbor cells for measurement rather than measuring all surrounding cells, achieving sufficient validation accuracy with reduced measurement time and processing resources.
Solution Approach 2:
The patent performs preliminary measurements and stores measurement data in advance during periods when TA validation is not critical. By pre-acquiring and storing neighbor cell measurement data, the system reduces the time required for actual TA validation decisions, as the measurement infrastructure is already in place and data is readily available when validation is needed.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for neighbor cell measurement based timing advance validation. A method may include receiving a network configuration comprising a timing advance command from a network element. The method may also include acquiring at least measurement data of a serving cell relative to a first set of neighbor cells at a first time instance, and measurement data of the serving cell relative to a second set of neighbor cells at a second time instance according to the network configuration. The method may further include performing a timing advance validity check using at least the acquired measurement data from the first time instance and the second time instance. Further, the method may include performing data transmission based on a result of the timing advance validity check.