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09/15/2023
Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders
In this work, we propose to utilize a variational autoencoder (VAE) for ...
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05/05/2023
Enhanced Low-Complexity FDD System Feedback with Variable Bit Lengths via Generative Modeling
Recently, a versatile limited feedback scheme based on a Gaussian mixtur...
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04/27/2023
A Versatile Low-Complexity Feedback Scheme for FDD Systems via Generative Modeling
In this work, we propose a versatile feedback scheme which can be deploy...
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01/16/2023
Learning a Gaussian Mixture Model from Imperfect Training Data for Robust Channel Estimation
In this letter, we propose a Gaussian mixture model (GMM)-based channel ...
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07/28/2022
Evaluation of a Gaussian Mixture Model-based Channel Estimator using Measurement Data
In this work, we use real-world data in order to evaluate and validate a...
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05/24/2022
GMM-based Codebook Construction and Feedback Encoding in FDD Systems
We propose a precoder codebook construction and feedback encoding scheme...
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05/07/2022
Channel Estimation based on Gaussian Mixture Models with Structured Covariances
In this work, we propose variations of a Gaussian mixture model (GMM) ba...
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11/22/2021
An Asymptotically Optimal Approximation of the Conditional Mean Channel Estimator based on Gaussian Mixture Models
This paper investigates a channel estimator based on Gaussian mixture mo...
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05/19/2021
Unsupervised Learning of Adaptive Codebooks for Deep Feedback Encoding in FDD Systems
In this work, we propose a joint adaptive codebook construction and feed...
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11/28/2019
Reproducible Evaluation of Neural Network Based Channel Estimators And Predictors Using A Generic Dataset
A low-complexity neural network based approach for channel estimation wa...
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11/17/2019
