Earliest Path RSRP Measurement for 5G Positioning
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G networks, face challenges in accurately measuring reference signal received power (RSRP) for positioning, which affects the precision of angle of departure (AoD) and angle of arrival (AoA) measurements due to the complexity of multipath signals and the lack of standardized methods for RSRP measurement.
Innovation Solution
A method for measuring RSRP based on the sum of energy within a specific number of samples from the peak of the earliest path in the channel impulse response, where the number of samples can be determined by bandwidth, oversampling factor, or network-configured parameters, allowing for more accurate RSRP measurement and improved AoD/AoA calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RSRP measurement includes all paths (multipath signals), then the measurement covers complete signal energy, but measurement precision deteriorates due to inability to distinguish earliest path from later reflections
Solution Approach 1:
The patent segments the received signal into distinct paths based on time of arrival, identifying the earliest path separately from later multipath reflections. By dividing the signal processing into path-specific segments, the system can selectively measure RSRP only on the earliest path, improving measurement precision while maintaining manageable complexity through automated peak detection algorithms
Solution Approach 2:
The patent extracts the earliest path signal from the composite multipath signal by detecting the peak in the channel impulse response. This extraction isolates the direct path component, allowing RSRP measurement to be performed solely on the earliest path without contamination from reflected signals, thereby resolving the contradiction between complete energy capture and measurement accuracy
2Measurement precision
If RSRP measurement uses standardized method, then measurement consistency improves, but adaptability to different multipath scenarios deteriorates
Solution Approach 1:
The patent implements dynamic adaptability by allowing the number of samples used in RSRP measurement to be configured based on specific deployment scenarios. The system can adjust measurement parameters such as the number of IFFT samples or time threshold values depending on bandwidth, oversampling factor, or network conditions, enabling the standardized earliest-path method to adapt to various multipath environments while maintaining measurement consistency
Solution Approach 2:
The patent enables parameter adjustment for RSRP measurement by allowing flexible configuration of sample count, time thresholds, and measurement window sizes. These parameter changes allow the system to optimize measurement accuracy for different scenarios (e.g., different bandwidths, oversampling factors, or multipath conditions) while still following the standardized earliest-path approach, thus balancing precision and adaptability
Data Source
AI summary
In an aspect, a wireless node (e.g., UE, gNB, etc.) receives a reference signal for positioning (RS-P) over a respective bandwidth on one or more paths including an earliest path, and measures a reference signal received power (RSRP) associated with the earliest path of the RS-P based on a sum of energy on the respective bandwidth within at least one number of samples from a peak of the earliest path.