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Conference Paper
CSI feedback compression based on deep learning using wavelet transform
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- Authors
- Yong Jin Kwon, Anseok Lee, Heesoo Lee
- Issue Date
- 2023-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2023, pp.1-4
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- Recently, machine learning approaches have been widely applied in the mobile communication field. This paper presents a novel deep learning (DL) model for Channel State Information (CSI) feedback compression using wavelet transform. Specifically, the proposed model incorporates wavelet transform into the DL model. And, the model is trained with a combined loss function to effectively preserve high-frequency components. Based on extensive simulations using New Radio (NR) channel model, the CSI reconstruction performance of the proposed model is improved compared to an existing DL-based method for CSI feedback compression.
- KSP Keywords
- CSI Feedback, Channel State Information(CSI), DL model, Feedback compression, High Frequency(HF), Machine Learning Approach, Proposed model, Reconstruction performance, Wavelet transform(WT), channel model, deep learning(DL)