用无线环境图压缩信道状态信息，降低用户上报开销。
CSI Compression using Channel Charting
- 通过构建信道环境图实现无监督降维，提取低维信道特征。
- 在真实合成数据上优于基线方法，有效恢复原始信道信息。
- 适合大规模多天线系统中的信道反馈优化，尤其适用于FDD场景。
在频分双工（FDD）系统中，多天线通信的优势依赖于移动用户向基站（BS）报告信道状态信息（CSI）。近年来，由于基站天线数量急剧增加，所需采集的CSI量变得极为庞大。为缓解这一上报开销，已提出压缩CSI技术，即从用户发送的压缩版本中恢复原始CSI。通道图谱（Channel Charting）是一种无监督降维方法，通过从多个CSI构建无线环境地图，其图谱位置本质上是CSI的低维表示。本文研究了通道图谱在任务导向的CSI压缩应用中的性能，并在真实合成数据上与基线方法进行对比，结果表明该方法具有显著优势。
原文摘要 · Abstract (English)
Reaping the benefits of multi-antenna communication systems in frequency division duplex (FDD) requires channel state information (CSI) reporting from mobile users to the base station (BS). Over the last decades, the amount of CSI to be collected has become very challenging owing to the dramatic increase of the number of antennas at BSs. To mitigate the overhead associated with CSI reporting, compressed CSI techniques have been proposed with the idea of recovering the original CSI at the BS from its compressed version sent by the mobile users. Channel charting is an unsupervised dimensionality reduction method that consists in building a radio-environment map from CSIs. Such a method can be considered in the context of the CSI compression problem, since a chart location is, by definition, a low-dimensional representation of the CSI. In this paper, the performance of channel charting for a task-based CSI compression application is studied. A comparison of the proposed method against baselines on realistic synthetic data is proposed, showing promising results.
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