5G mmWave UE Beam Tracking via Adaptive Filtering
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Solution Overview
Problem
Current beam tracking schemes in 5G mmWave User Equipment (UE) face challenges due to intensive calculations and delays in measuring signal strength, which can lead to loss of connection, especially in dynamic environments.
Innovation Solution
The method models beam tracking as a dynamic choice selection problem using adaptive filtering, selecting beams based on predicted Reference Signal Received Power (RSRP) and tracking statistical variations to improve beam tracking efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional beam tracking schemes (Round Robin or LUT based) are used, then beam tracking is performed, but measurement time is excessive and connection reliability deteriorates in dynamic environments
Solution Approach 1:
The patent pre-calculates and stores RSRP values for all beam combinations in a lookup table before actual beam tracking is needed. This preliminary computation of signal strength metrics allows the system to quickly retrieve and compare pre-computed values during runtime, eliminating the need for time-consuming real-time measurements of all beam combinations and enabling faster beam selection while maintaining reliability
Solution Approach 2:
The patent creates a virtual model of the channel characteristics by storing RSRP measurements in a lookup table that represents the signal environment. This copied representation of channel state allows the system to simulate and evaluate beam performance based on stored data rather than performing exhaustive physical measurements, significantly reducing measurement time while preserving connection reliability
2Measurement precision
If exhaustive beam sweeping is performed to ensure accurate beam tracking, then measurement accuracy is improved, but computational complexity and time consumption increase significantly
Solution Approach 1:
The patent performs RSRP measurements and stores results in a lookup table in advance, before the actual beam tracking decision is needed. This pre-computation of signal strength metrics for all beam combinations transforms the complex real-time measurement problem into a simple table lookup operation, maintaining measurement precision while dramatically reducing computational complexity during runtime
Solution Approach 2:
The patent measures and stores RSRP values for all possible beam combinations (excessive action) in the lookup table, but only retrieves and uses the necessary subset of these pre-computed values during actual beam tracking. This approach ensures measurement precision by having complete data available, while reducing computational complexity by avoiding repeated exhaustive measurements
Data Source
AI summary
A method is provided for beam tracking in a user equipment (UE), the UE configured to communicate using mmWave in a 5G New Radio (NR) network, the method includes selecting a first beam among a plurality of beams based on a predicted reference signal, perform adaptive filtering on the first beam, and tracking statistical variations in the first beam based on the adaptive filtering.