Near-Field Codebook Angle and Range Parameterization
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Solution Overview
Problem
Current wireless communication systems, particularly in the context of 5G New Radio (NR), face challenges in accurately determining angle-of-arrival (AoA) and angle-of-departure (AoD) for both near-field and far-field service areas, which affects positioning and beamforming efficiency.
Innovation Solution
The method involves transmitting reference signals on multiple transmit beams parameterized with angle and range values from a near-field codebook and receiving devices measuring signal strength using corresponding receive beams parameterized with channel steering vectors to determine AoA and distance, thereby enhancing angular information derivation across various service areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional far-field codebooks are used for beamforming, then far-field positioning accuracy is maintained, but near-field angle-of-arrival (AoA) and distance determination become inaccurate
Solution Approach 1:
The patent introduces a near-field codebook that parameterizes transmit and receive beams with both angle values and range values, changing the parameterization approach from traditional far-field assumptions. This allows the system to adapt beamforming parameters based on whether targets are in near-field or far-field regions, resolving the contradiction between near-field measurement accuracy and overall positioning reliability
Solution Approach 2:
The patent segments the service area into near-field and far-field regions, applying different codebooks and measurement procedures appropriate to each region. By dividing the positioning space and applying region-specific processing, the system achieves accurate AoA and distance determination in near-field areas while maintaining reliability across both regions
2Measurement precision
If multiple transmit beams with angle and range parameterization are used, then angular information derivation accuracy improves, but system complexity increases
Solution Approach 1:
The patent implements dynamic beam selection where the system adapts between near-field and far-field codebooks based on the detected service area. The beam management process dynamically adjusts parameterization approaches, allowing accurate angular information derivation while managing complexity through adaptive rather than static beam configurations
Solution Approach 2:
The near-field codebook is designed to serve multiple functions: it enables both angle determination and range estimation, and can be applied to both transmit and receive beamforming. This multi-functionality reduces overall system complexity by using a unified approach rather than separate mechanisms for different measurement types
Data Source
AI summary
Disclosed are techniques for wireless sensing. In an aspect, a transmitter device transmits, to at least one receiver device, one or more reference signals on each of a plurality of transmit beams, wherein the plurality of transmit beams corresponds to a plurality of codepoints of a near-field codebook, and wherein each of the plurality of codepoints is parameterized with an angle value and a range value of a corresponding transmit beam of the plurality of transmit beams.