Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Trainable communication systems: Concepts and prototype

S Cammerer, FA Aoudia, S Dörner… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
We consider a trainable point-to-point communication system, where both transmitter and
receiver are implemented as neural networks (NNs), and demonstrate that training on the bit …

Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks

C Mao, Z Mu, Q Liang, I Schizas, C Pan - IET Communications, 2023 - Wiley Online Library
With the rapid development of the communication industry in the fifth generation and the
advance towards the intelligent society of the sixth generation wireless networks, traditional …

End-to-end learning-based full-duplex amplify-and-forward relay networks

A Gupta, M Sellathurai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Full duplex (FD) relaying can provide double spectral efficiency. Despite advanced self-
interference cancellation techniques, residual self-interference (RSI) limits the performance …

Joint model and data-driven receiver design for data-dependent superimposed training scheme with imperfect hardware

C Qing, L Dong, L Wang, J Wang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Data-dependent superimposed training (DDST) scheme has shown the potential to achieve
high bandwidth efficiency, while encounters symbol misidentification caused by hardware …

Capacity-driven autoencoders for communications

NA Letizia, AM Tonello - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
The autoencoder concept has fostered the reinterpretation and the design of modern
communication systems. It consists of an encoder, a channel and a decoder block that …

Autoencoder-based transceiver design for OWC systems in log-normal fading channel

ZR Zhu, J Zhang, RH Chen, HY Yu - IEEE Photonics Journal, 2019 - ieeexplore.ieee.org
In this paper, we construct the autoencoder (AE) for optical wireless communication (OWC)
systems with non-negativity and peak power constraints, which provides effective …

Speech quality assessment in wireless communications with mimo systems using a parametric model

DZ Rodríguez, RL Rosa, FL Almeida, G Mittag… - IEEE …, 2019 - ieeexplore.ieee.org
Communication service providers use specialized solutions to evaluate the quality of their
services. Also, different mechanisms that increase network robustness are incorporated in …

Deep multi-task learning for cooperative NOMA: System design and principles

Y Lu, P Cheng, Z Chen, WH Mow, Y Li… - IEEE Journal on …, 2020 - ieeexplore.ieee.org
Envisioned as a promising component of the future wireless Internet-of-Things (IoT)
networks, the non-orthogonal multiple access (NOMA) technique can support massive …

Reinforcement learning-based anti-jamming in networked UAV radar systems

Q Wu, H Wang, X Li, B Zhang, J Peng - Applied Sciences, 2019 - mdpi.com
The networked unmanned aerial vehicle (UAV) radar system may exploit inter-UAV
cooperation for enhancing information acquisition capabilities, meanwhile its inter-UAV …