End-to-End Learning-Based Framework for Amplify-and-Forward Relay Networks

We study end-to-end learning-based frameworks for amplify-and-forward (AF) relay networks, with and without the channel state information (CSI) knowledge. The designed framework resembles an autoencoder (AE) where all the components of the neural network (NN)-based source and destination nodes are o...

Полное описание

Библиографические подробности

Главные авторы:	Ankit Gupta, Mathini Sellathurai
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2021-01-01
Серии:	IEEE Access
Предметы:	Amplify-and-forward autoencoder feed-forward neural networks learning relay networks
Online-ссылка:	https://ieeexplore.ieee.org/document/9446128/
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!