Adaptive Hybrid Precoder Selection in 2D Antenna Configurations
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Solution Overview
Problem
In wireless communication systems, particularly with 5G NR, the complexity of determining the precoding matrix indicator (PMI) increases with the number of antennas, leading to significant channel state information (CSI) complexity and potential throughput reduction due to suboptimal precoder selection.
Innovation Solution
A hybrid disjoint-joint PMI processing approach is introduced, dynamically determining whether to use joint or disjoint PMI processing based on channel conditions, reducing CSI complexity without compromising performance by falling back to joint processing in high antenna correlation scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If joint PMI processing is used to accurately select precoder, then PMI selection accuracy is improved, but CSI computation complexity increases significantly
Solution Approach 1:
The patent applies dynamics by making the PMI processing method adaptive rather than fixed. The system dynamically switches between disjoint PMI processing and joint PMI processing based on channel conditions, specifically the correlation between antenna elements. This allows the system to optimize the balance between computation complexity and PMI selection accuracy for each operational scenario.
Solution Approach 2:
The patent changes the processing parameter (PMI computation method) based on channel characteristics. By detecting antenna correlation and adjusting the PMI processing approach accordingly, the system optimizes the trade-off between computational complexity and accuracy. This parameter adaptation enables the system to use simpler disjoint processing when antennas are uncorrelated and more complex joint processing when correlation is present.
2Productivity
If the number of antennas is increased to improve system capacity, then spectral efficiency is improved, but PMI selection complexity increases
Solution Approach 1:
The patent segments the PMI selection process into two independent parts: channel correlation detection and PMI processing. By first determining the correlation characteristics of the antenna array, the system can then segment the PMI computation into appropriate disjoint or joint processing stages. This segmentation allows the system to handle large antenna configurations without uniformly increasing complexity across all processing stages.
3Device complexity
If disjoint PMI processing is used to reduce complexity, then CSI computation complexity is reduced, but PMI selection accuracy deteriorates in high correlation scenarios
Solution Approach 1:
The patent implements feedback by continuously monitoring channel conditions, specifically the correlation between antenna elements. Based on this feedback, the system adjusts the PMI processing method. When high correlation is detected, the system switches from disjoint to joint PMI processing to maintain accuracy. This feedback mechanism ensures that complexity reduction does not compromise accuracy when the channel conditions require it.
Data Source
AI summary
Apparatus, methods, and computer-readable media for adaptive hybrid precoder selection in 2D antenna configurations are disclosed herein. An example method of wireless communication at a UE includes estimating a channel based on CSI-RS received on each port of a plurality of CSI-RS ports from a base station. The example method includes determining, based on the channel estimation, whether to perform disjoint PMI processing or joint PMI processing when determining a first component of a PMI. The example, method includes determining the first component of the PMI based on the determined disjoint PMI processing or joint PMI processing.