UE Quantized Per-Path AoA Feedback for 5G Beam Management
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Solution Overview
Problem
Measuring per-path angle of arrival at user equipment (UE) is challenging due to lower antenna elements compared to base stations, leading to lower angular resolution and high processing power demands, along with large overhead in existing feedback procedures, especially for fine resolution measurements.
Innovation Solution
The UE feeds back quantized per-path angle of arrival values to the base station, along with delay and/or power levels, using a number of quantization levels based on the UE's antenna array, employing neural networks for efficient reporting, and establishing a quantization format to reduce payload size and processing complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If per-path angle of arrival measurement is performed with fine resolution at UE, then measurement precision is improved, but processing power requirements increase and feedback overhead becomes large
Solution Approach 1:
The patent introduces a quantization intermediary that maps continuous angle of arrival values to discrete quantization levels. The UE determines AoA values, quantizes them to predefined levels, and reports only the quantization level indices along with delay and power information. This intermediary quantization process reduces the precision requirements while maintaining sufficient angular resolution for beam management, thereby reducing processing power and feedback overhead.
Solution Approach 2:
The patent changes the parameter representation from continuous high-precision AoA values to discrete quantization level indices. By transforming the angle measurement into a quantized format with limited resolution levels, the system achieves a balance between measurement precision and processing complexity. The quantization levels are configured to provide sufficient angular resolution for practical beam management while significantly reducing the feedback payload size.
2Measurement precision
If per-path angle of arrival measurement is performed with fine resolution at UE, then measurement precision is improved, but feedback overhead becomes large
Solution Approach 1:
The quantization intermediary converts continuous AoA measurements into discrete level indices, dramatically reducing the feedback data volume. Instead of reporting precise continuous angle values that would require many bits, the system reports quantization level indices that occupy minimal feedback resources while still providing sufficient angular resolution for beam management operations.
Solution Approach 2:
The patent transforms the feedback parameter from high-precision continuous AoA values to low-resolution discrete quantization indices. This parameter transformation reduces the feedback overhead by representing angular information with minimal bits while maintaining the essential directional information needed for beam management. The quantization levels are optimized to provide adequate angular resolution without excessive feedback payload.
3Measurement precision
If quantization levels are increased to improve angular resolution, then measurement precision is improved, but processing complexity increases
Solution Approach 1:
The patent applies partial quantization action by using a limited number of quantization levels that provide sufficient angular resolution for practical beam management purposes. Rather than using excessive quantization levels that would maximize precision but increase complexity, the system uses an optimized number of levels that achieve the necessary resolution with acceptable processing complexity. This partial action approach balances precision requirements with implementation feasibility.
Data Source
AI summary
A method of wireless communication by a user equipment (UE) comprises receiving, from a base station, multiple reference signals, and estimating a channel based on the received reference signals. The channel comprises multiple channel paths. The method also includes quantizing an angle of arrival (AoA) of each channel path into one of a group of quantization levels. The method further includes reporting to the base station the quantized angle of arrival, and also a delay and/or power level for the quantized angle of arrival.