Low-Rank Beamformer Using Multi-Layer Precoder Feedback
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Solution Overview
Problem
Existing wireless communication systems face inefficiencies in beamforming due to randomized approaches that do not fully utilize channel conditions, leading to reduced transmission gains and unstable channels, particularly in multi-path propagation scenarios.
Innovation Solution
A low-complexity beamforming method that utilizes multi-layer feedback to determine a single or low-rank beamformer, incorporating layer-weighting algorithms and dynamic beam-broadening techniques to adapt to time-varying channels and avoid interference, without requiring additional channel prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If randomized beamformer is used among directions indicated by PMI, then device complexity is reduced, but transmission efficiency and channel stability deteriorate
Solution Approach 1:
The patent changes the selection criterion parameter from random selection to channel-condition-based selection. The network node evaluates channel quality metrics (such as signal strength, interference level, or channel correlation) for each direction indicated by the PMI, and selects the beamformer that optimizes these parameters. This ensures that the selected beamformer fully utilizes the channel conditions while maintaining low computational complexity by limiting selection to the already-identified directions.
2Adaptability or versatility
If randomized beamformer is used among directions indicated by PMI, then adaptability to different transmission scenarios is improved, but channel stability deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the network node monitors channel conditions and transmission performance for each beamforming direction. Based on this feedback, the network node dynamically adjusts the beamformer selection strategy, preferring directions that demonstrate stable channel characteristics. This feedback loop ensures both adaptability to changing conditions and stability of the PDCCH channel by avoiding directions with poor or unstable channel properties.
3Productivity
If multi-layer feedback is used to determine low-rank beamformer, then transmission efficiency is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential information from multi-layer feedback that is needed for low-rank beamformer determination. Instead of processing the complete multi-layer precoder matrix, the network node identifies and extracts the dominant spatial directions or eigenvectors from the feedback, which capture the most significant channel characteristics. This extraction approach maintains transmission efficiency by utilizing multi-layer information while reducing computational complexity by focusing only on the most relevant components.
Data Source
AI summary
According to one or more embodiments, a network node configured to communicate with a wireless device is provided. The network node includes processing circuitry configured to: receive multilayer feedback; determine a beamformer for transmission of a first quantity of transmission layers where the beamformer is based at least on information, in the multilayer feedback, that is associated with a second quantity of transmission layers, where the first quantity of transmission layers is a less than the second quantity of transmission layers; and cause the transmission using the beamformer.