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
… In this article, we focus on the channel AE and review the state-of-the-art works in this aspect…
imperfections, channel noise, and time-varying environment, the precise channel transfer …

Auto-encoders in deep learning—a review with new perspectives

S Chen, W Guo - Mathematics, 2023 - mdpi.com
challenges of recent research papers, this work aims to review state-of-the-art auto-encoder
Finally, this paper summarizes the future trends and challenges in designing and training …

A survey on deep learning for challenged networks: Applications and trends

K Bochie, MS Gilbert, L Gantert, MSM Barbosa… - Journal of Network and …, 2021 - Elsevier
… area, all the challenges faced in IoT are present here. Regarding the last trend, we present
… They use a convolutional autoencoder to explore the advantages of convolutional networks …

[HTML][HTML] Toward practical autoencoder-based side-channel analysis evaluations

S Paguada, L Batina, I Armendariz - Computer Networks, 2021 - Elsevier
… like IoT becomes more complex as side-channel analysis evaluation easily falls into false-…
reduction using autoencoders for profiled side-channel leakage evaluations. Two autoencoder

[图书][B] Autoencoders for Physical Layer Communications: Approaches and Applications

J Song - 2023 - research.chalmers.se
… , and it is expected that this trend will continue in the future [1… channel consider in this thesis
is the MIMO channel. Consider the channel being memoryless and discrete, a MIMO channel

Capacity-driven autoencoders for communications

NA Letizia, AM Tonello - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
… Inspired by the information bottleneck method [20] and by the notion of channel capacity,
a novel loss function for autoencoders in communications is proposed in this paper. The …

Reviewing autoencoders for missing data imputation: Technical trends, applications and outcomes

RC Pereira, MS Santos, PP Rodrigues… - Journal of Artificial …, 2020 - jair.org
… one of them is the Autoencoder and its Denoising and Variational … This study surveys the use
of Autoencoders for the … by Autoencoders when compared to other state-of-the-art methods, …

Neuroevolution in deep neural networks: Current trends and future challenges

E Galván, P Mooney - IEEE Transactions on Artificial …, 2021 - ieeexplore.ieee.org
… image and the third is the number of channels. Activation functions, such as batch… tasks.
Luo et al. [111] propose a novel semi-supervised autoencoder called a discriminant autoencoder

Survey of general communication based on using deep learning autoencoder

M Mohammed, M Çevik… - … on Multidisciplinary Studies …, 2022 - ieeexplore.ieee.org
… In [11], this work suggested a denoising autoencoderbased OFDM-64QAM channel estimation
approach and The Japanese digital television system is the intended environment for this …

A novel OFDM autoencoder featuring CNN-based channel estimation for internet of vessels

B Lin, X Wang, W Yuan, N Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
… OFDM autoencoder system can be generalized to work under various channel environments,
… In addition, since OFDM systems require accurate channel estimations to function properly, …