Feedback Design With VQ-VAE for Robust Precoding in Multi-User FDD Systems

In this letter, we propose a vector quantized-variational autoencoder (VQ-VAE)-based feedback scheme for robust precoder design in multi-user frequency division duplex (FDD) systems. We demonstrate how the VQ-VAE can be tailored to specific propagation environments, focusing on systems with low pilot overhead, which is crucial in massive multiple-input multiple-output (MIMO) systems. Extensive simulations with real-world measurement data show that the proposed feedback scheme outperforms state-of-the-art autoencoder (AE)-based compression schemes and conventional Discrete Fourier transform (DFT) codebook-based schemes. These improvements enable the deployment of systems with fewer feedback bits or pilots.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-11-20
DOI
https://doi.org/10.1109/lwc.2024.3503066
Citations
1
Primary Topic
Advanced Data Compression Techniques
Type
article
Field-Weighted Citation Impact
0.25

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article

Feedback Design With VQ-VAE for Robust Precoding in Multi-User FDD Systems

Michael Baur, Nurettin Turan
1 citations
IEEE Wireless Communications Letters
Advanced Data Compression Techniques
0.25
article

Feedback Design With VQ-VAE for Robust Precoding in Multi-User FDD Systems

Michael Baur, Nurettin Turan
article en
1 citations

Abstract

In this letter, we propose a vector quantized-variational autoencoder (VQ-VAE)-based feedback scheme for robust precoder design in multi-user frequency division duplex (FDD) systems. We demonstrate how the VQ-VAE can be tailored to specific propagation environments, focusing on systems with low pilot overhead, which is crucial in massive multiple-input multiple-output (MIMO) systems. Extensive simulations with real-world measurement data show that the proposed feedback scheme outperforms state-of-the-art autoencoder (AE)-based compression schemes and conventional Discrete Fourier transform (DFT) codebook-based schemes. These improvements enable the deployment of systems with fewer feedback bits or pilots.

IEEE Wireless Communications LettersVol. 14(2)
Bundesministerium für Bildung und Forschung, Bayerische Staatsministerium für Wirtschaft, Landesentwicklung und Energie
Openalex Percentile: Top 45%
Advanced Data Compression Techniques
0.25
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