Beam Fingerprinting Database for Low-Latency NR Beam Selection
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Solution Overview
Problem
Existing NR beam-management procedures in wireless networks incur high latency and overhead, especially in dynamic and high-frequency scenarios due to the need for constant exchange of reference signals and measurement reporting, and lack mechanisms for beam acquisition based on UE location.
Innovation Solution
Implement a beam fingerprinting database that maps beam signal characteristics to UE location information, enabling location-aware beam selection by associating optimal transmit and receive beams with UE positions, and updating the database based on predetermined criteria using RF fingerprinting techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If constant/periodic exchange of reference signals and measurement reporting is used for beam management, then beam alignment accuracy is maintained, but signaling overhead and latency increase
Solution Approach 1:
The system pre-establishes a beam fingerprinting database that maps UE location information to optimal beam configurations before actual beam management is needed. This preliminary action allows the network to quickly retrieve and apply pre-determined beam settings based on UE location, avoiding the need for extensive real-time reference signal exchange and measurement reporting, thus reducing latency while maintaining beam alignment accuracy
Solution Approach 2:
The patent creates a simplified representation (copy) of the beam environment through fingerprinting - storing characteristic beam patterns associated with different UE locations in a database. Instead of performing complete beam management procedures each time, the system uses these pre-captured beam fingerprints to quickly identify and select appropriate beams, significantly reducing signaling overhead and latency while preserving alignment accuracy
2Loss of time
If beam fingerprinting database is implemented with location-aware beam selection, then signaling overhead and latency are reduced, but system complexity increases
Solution Approach 1:
The patent introduces a beam fingerprinting database as an intermediary component that sits between the UE location information and the beam selection process. This database pre-processes and stores the complex relationships between location and optimal beam configurations, allowing the actual beam management system to simply query and retrieve pre-determined settings. This intermediary approach reduces the complexity of real-time beam management while achieving low latency through efficient database lookups based on UE location
Data Source
AI summary
Apparatuses, methods, and systems are disclosed for location-aware beam selection. One method a communication device (i.e., a UE and/or gNB) includes mapping a set of beam signal characteristics to UE location information and storing said mapping to a Beam Fingerprint (“BFP”) database. The method includes identifying a UE location and selecting an optimal beam based using the UE location and the BFP database, said optimal beam being one of: a transmit beam and a receive beam.


