Context-Tree-Based Lossy Compression and Its Application to CSI Representation

@article{Miyamoto2022ContextTreeBasedLC,
  title={Context-Tree-Based Lossy Compression and Its Application to CSI Representation},
  author={Henrique K. Miyamoto and Sheng Yang},
  journal={ArXiv},
  year={2022},
  volume={abs/2110.14748}
}
—We propose novel compression algorithms for time- varying channel state information (CSI) in wireless communica-tions. The proposed scheme combines (lossy) vector quantisation and (lossless) compression. First, the new vector quantisation technique is based on a class of parametrised companders applied on each component of the normalised CSI vector. Our algorithm chooses a suitable compander in an intuitively simple way whenever empirical data are available. Then, the sequences of quantisation… 
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