UE Detection of Overlapping Measurement Gaps in NTN RRM
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Solution Overview
Problem
In wireless communication networks, particularly those incorporating non-terrestrial networks (NTNs) like satellites, overlapping measurement gaps can occur due to the rapid movement of low earth orbit (LEO) satellites, leading to uncertainty in how user equipment (UE) should proceed with radio resource management (RRM) measurements, causing potential measurement gaps to overlap and disrupt communication.
Innovation Solution
The UE determines overlapping measurement gaps by evaluating a proximity condition, selects one gap for measurement, and applies selection patterns or prioritization techniques to manage these gaps effectively, ensuring predictable processing and minimizing disruption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurement gaps are configured for multiple frequency layers including NTN cells, then comprehensive RRM measurements can be performed, but overlapping measurement gaps occur causing uncertainty and disruption in communication
Solution Approach 1:
The system performs preliminary evaluation of measurement gap configurations before execution. The UE evaluates whether configured measurement gaps for different frequency layers (including NTN cells) will overlap in time. By assessing temporal proximity of measurement gaps beforehand, the system can identify potential conflicts and apply selection patterns or prioritization rules to resolve overlaps, ensuring reliable measurement scheduling without disruption.
2Adaptability or versatility
If LEO satellites move rapidly to provide coverage, then network adaptability improves, but measurement gaps overlap causing communication disruptions
Solution Approach 1:
The system dynamically manages measurement gaps by continuously monitoring the temporal proximity of configured gaps. When measurement gaps for different frequency layers (including dynamic LEO satellite cells) are detected to be overlapping, the system applies dynamic selection patterns or prioritization rules to resolve the overlap. This dynamic approach allows the network to adapt to rapid LEO satellite movement while preventing communication disruptions through real-time gap coordination.
Data Source
AI summary
Systems, methods, and devices are provided for processing potentially overlapping measurement gaps. In one example, a baseband processor of a user equipment (UE), includes one or more processors configured to receive a first measurement gap configuration configuring a first measurement gap and a second measurement gap configuration configuring a second measurement gap. A measurement gap (MG) proximity between the first measurement gap and the second measurement gap is determined and evaluated with respect to a proximity condition. The proximity condition defines a minimum time between measurement gaps. In response to the MG proximity violating the proximity condition, the one or more processors are configured to determine that the first measurement gap and the second measurement gap are overlapping, and in response, select one of the first measurement gap or the second measurement gap for receiving reference signals.