Dynamic Angular Search Window for 5G AoA Positioning
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Solution Overview
Problem
In wireless communication systems, particularly in 5G NR, the existing methods for Angle of Arrival (AoA) estimation face challenges due to potential errors in the angular search window provided by the Location Management Function (LMF) to the gNB/TRP, leading to incorrect window centers or sizes, which can result in suboptimal positioning performance.
Innovation Solution
The proposed solution involves dynamic and adaptive exchange of AoA search window information between the LMF and gNB/TRP, allowing the LMF to compute and update the angular search window based on feedback from the gNB, optimizing the search window over time and enabling more granular and informative AoA measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed angular search window is provided by LMF to gNB/TRP, then the positioning measurement process is simplified, but the measurement accuracy deteriorates due to potential errors in window center or size
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed angular search window to a dynamic and adaptive search window. The LMF computes the angular search window dynamically based on feedback from gNB/TRP measurements, allowing the window parameters (center and size) to adapt over time. This resolves the contradiction by maintaining measurement process simplicity while improving accuracy through adaptive updates of the search window based on actual measurement feedback.
Solution Approach 2:
The patent implements feedback mechanisms where the gNB/TRP sends measurement feedback to the LMF, which then uses this feedback to refine and update the angular search window. The feedback loop allows the system to correct initial window estimation errors and optimize the search window parameters iteratively, thereby improving measurement accuracy without significantly increasing system complexity.
2Measurement precision
If a dynamic and adaptive exchange of AoA search window information is implemented, then the AoA measurement accuracy is improved, but the protocol overhead increases
Solution Approach 1:
The patent applies partial action by implementing dynamic window updates only when necessary, rather than continuously. The LMF computes updated angular search windows based on feedback triggers or time intervals, sending updates only when improvements are needed. This approach maintains high measurement accuracy while minimizing the frequency of protocol exchanges and reducing overall overhead in the NRPPa interface.
3Reliability
If the LMF computes and dynamically updates the angular search window, then the positioning performance is optimized, but the control complexity increases
Solution Approach 1:
The patent applies self-service by enabling the system to automatically compute and update angular search windows without manual intervention. The LMF autonomously processes feedback from gNB/TRP, computes optimized window parameters, and sends updates back to the network nodes. This automation improves positioning performance while the standardized algorithms keep control complexity manageable.
Data Source
AI summary
A method (2200) by a first network node (560) includes transmitting (2202), to a second network node (560), a message comprising search window information, The search window information includes information associated with an expected angle and information associated with an uncertainty level of the expected angle. The first network node receives (2204) a response message from the second network node. The response message comprises feedback associated with a use of the search window information by the second network node.