Turbo autoencoder: Deep learning based channel codes for point-to-point communication channels

Y Jiang, H Kim, H Asnani, S Kannan… - Advances in neural …, 2019 - proceedings.neurips.cc
… by introducing Turbo Autoencoder (henceforth, TurboAE) – the first channel coding … -art
channel codes under AWGN channels for a moderate block length. We demonstrate that channel

Turbo autoencoder with a trainable interleaver

K Chahine, Y Jiang, P Nuti, H Kim… - … on Communications, 2022 - ieeexplore.ieee.org
… of Turbo codes for Additive White Gaussian Noise channels. In … channels, such as fading
channels and chirp noise channels. … and LTE Turbo codes for several channels of interest. We …

Feedback turbo autoencoder

Y Jiang, H Kim, H Asnani, S Oh… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
… While wireless communication is critical for modern civilization, channel … back Turbo
Autoencoder (FTAE), which has block length gain with feedback, on block delayed feedback channel

Serial vs. parallel turbo-autoencoders and accelerated training for learned channel codes

J Clausius, S Dörner, S Cammerer… - … Symposium on Topics …, 2021 - ieeexplore.ieee.org
… For this, we study the existing concepts of Turbo-autoencoders from the literature and compare
… such, autoencoders promise a paradigm change in how we design future communication

Turbo detection aided autoencoder for multicarrier wireless systems: Integrating deep learning into channel coded systems

C Xu, T Van Luong, L Xiang, S Sugiura… - … Communications …, 2022 - ieeexplore.ieee.org
… the channel coding scheme and the channel paramters. We circumvent these impediments
and conceive a turbo-style multi-carrier auto-encoder (… into any given channel coded systems …

[PDF][PDF] Turbo Autoencoder: Deep Learning-Based Channel Codes for Point-to-Point Communication Channels

L Aggregated, Q Gradients - IEEE Wireless Communications, 2020 - scholar.archive.org
… , namely, Turbo Autoencoder (TurboAE), with the following contributions: under moderate
block lengths, TurboAE approaches state-of-the-art performance under canonical channels; …

Channel autoencoder for wireless communication: State of the art, challenges, and trends

C Zou, F Yang, J Song, Z Han - IEEE Communications …, 2021 - ieeexplore.ieee.org
… endto-end communication system that can optimize … channel autoencoder (AE) is one of
the methods, which regards the wireless communication system as an AE along with a channel

[PDF][PDF] Attention Turbo-Autoencoder for Improved Channel Coding and Reconstruction

KA Olaniyi, R Heymann, TG Swart - Journal of Communications, 2024 - ujcontent.uj.ac.za
… of communication systems by introducing a novel technique that enhances turbo autoencoders
through the incorporation of attention mechanisms, leading to improved channel coding …

Joint channel coding and modulation via deep learning

Y Jiang, H Kim, H Asnani, S Kannan… - … Communications  …, 2020 - ieeexplore.ieee.org
… -end communication system, where both the channel coding and … Turbo Autoencoder
together with feed-forward neural networks for modulation, and hence called TurboAE-MOD. Turbo

Unsupervised linear and nonlinear channel equalization and decoding using variational autoencoders

A Caciularu, D Burshtein - … on Cognitive Communications and …, 2020 - ieeexplore.ieee.org
… of channel decoding, in [5] an autoencoder for short blocklength end-to-end communications
… On the other hand, our turbo VAEE algorithm and the turbo EM algorithm are blind. They …