Low Complexity LSTM-NN-Based Receiver for Vehicular Communications in the Presence of High-Power Amplifier Distortions

Low Complexity LSTM-NN-Based Receiver for Vehicular Communications in the Presence of High-Power Amplifier Distortions

Vehicular communications are an important focus of studies for 5G applications and beyond. However, in a scenario with doubly-selective and highly variable channel characteristics, tracking the wireless channel to ensure communication reliability is one of the main goals to provide communication eff...

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Bibliographic Details
Main Authors: Ana Flavia Dos Reis, Yahia Medjahdi, Bruno Sens Chang, Jeremie Sublime, Glauber Brante, C. Faouzi Bader
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Channel estimation
HPA distortions
LSTM
machine learning
vehicular communication
Online Access:https://ieeexplore.ieee.org/document/9954409/

Internet

https://ieeexplore.ieee.org/document/9954409/

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