Convolutional-Type Neural Networks for Fading Channel Forecasting

Convolutional-Type Neural Networks for Fading Channel Forecasting

In this article, a series of convolutional-type predictive neural networks are proposed for the issue of fading channel forecasting for orthogonal frequency-division multiplexing (OFDM) transmission systems in a multiple-input and multiple-output (MIMO) mode via a noisy channel. The proposed neural...

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Bibliographic Details
Main Authors: Lia Ahrens, Julian Ahrens, Hans Dieter Schotten
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Wireless communications
deep learning
convolutional neural networks
LSTMs
time series analysis
fading channel forecasting
Online Access:https://ieeexplore.ieee.org/document/9235319/

Internet

https://ieeexplore.ieee.org/document/9235319/

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