Variational Autoencoder Leveraged MMSE Channel Estimation

Author:

Baur Michael1,Fesl Benedikt1,Koller Michael1,Utschick Wolfgang1

Affiliation:

1. School of Computation, Information and Technology, Technical University of Munich,Germany

Funder

Bavarian Ministry of Economic Affairs, Regional Development and Energy within the project 6G Future Lab Bavaria

Federal Ministry of Education and Research of Germany

Publisher

IEEE

Reference21 articles.

1. Spatial channel model for Multiple Input Multiple Output (MIMO) simulations (Release 16);3rd generation partnership project (3GPP),2020

2. Toeplitz and Circulant Matrices: A Review

3. QuaDRiGa - Quasi Deterministic Radio Channel Generator, User Manual and Documentation;jaeckel;Fraunhofer Heinrich Hertz Institute,2021

4. QuaDRiGa: A 3-D Multi-Cell Channel Model With Time Evolution for Enabling Virtual Field Trials

5. Adam: A Method for Stochastic Optimization;kingma;Proc 3rd Int Conf Learn Represent,2015

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2. Channel Estimation in Underdetermined Systems Utilizing Variational Autoencoders;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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4. Neural Network Assisted Time-varying Non-sparse Underwater Acoustic Channel Estimation;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19

5. Leveraging Variational Autoencoders for Parameterized MMSE Estimation;IEEE Transactions on Signal Processing;2024

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