On the road to 6G: Visions, requirements, key technologies, and testbeds
Fifth generation (5G) mobile communication systems have entered the stage of commercial
deployment, providing users with new services, improved user experiences as well as a host …
deployment, providing users with new services, improved user experiences as well as a host …
DeepJSCC-Q: Constellation constrained deep joint source-channel coding
Recent works have shown that modern machine learning techniques can provide an
alternative approach to the long-standing joint source-channel coding (JSCC) problem. Very …
alternative approach to the long-standing joint source-channel coding (JSCC) problem. Very …
Joint coding-modulation for digital semantic communications via variational autoencoder
Y Bo, Y Duan, S Shao, M Tao - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Semantic communications have emerged as a new paradigm for improving communication
efficiency by transmitting the semantic information of a source message that is most relevant …
efficiency by transmitting the semantic information of a source message that is most relevant …
End-to-end learning of joint geometric and probabilistic constellation shaping
We present a novel autoencoder-based learning of joint geometric and probabilistic
constellation shaping for coded-modulation systems. It can maximize either the mutual …
constellation shaping for coded-modulation systems. It can maximize either the mutual …
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 …
interference cancellation techniques, residual self-interference (RSI) limits the performance …
Artificial neural network assisted probabilistic and geometric shaping for flexible rate high-speed PONs
S Yao, A Mahadevan, Y Lefevre… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
In this paper, we employ artificial neural networks (ANNs) to optimize joint probabilistic
shaping (PS) and geometric shaping (GS) for a realistic 50G IM/DD passive optical network …
shaping (PS) and geometric shaping (GS) for a realistic 50G IM/DD passive optical network …
A Review on Deep Learning Autoencoder in the Design of Next-Generation Communication Systems
O Alnaseri, L Alzubaidi, Y Himeur… - arXiv preprint arXiv …, 2024 - arxiv.org
Traditional mathematical models used in designing next-generation communication systems
often fall short due to inherent simplifications, narrow scope, and computational limitations …
often fall short due to inherent simplifications, narrow scope, and computational limitations …
Iterated Filters for Nonlinear Transition Models
A new class of iterated linearization-based nonlinear filters, dubbed dynamically iterated
filters, is presented. Contrary to regular iterated filters such as the iterated extended Kalman …
filters, is presented. Contrary to regular iterated filters such as the iterated extended Kalman …
Design of Low-Complexity Coded Modulation Employing High-Order QAM With Systematic Geometric Constellation Shaping
E Kurihara, H Ochiai - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
In this work, we investigate the performance of geometric constellation shaping for highorder
coded quadrature amplitude modulation (QAM) over an additive white Gaussian noise …
coded quadrature amplitude modulation (QAM) over an additive white Gaussian noise …
ANN-based optimization of probabilistic and geometric shaping for flexible rate 50G and beyond PON
Probabilistic and Geometric Constellation Shaping Optimization based on Artificial Neural
Network for Flexible Rate 50G and beyo Page 1 ANN-based Optimization of Probabilistic …
Network for Flexible Rate 50G and beyo Page 1 ANN-based Optimization of Probabilistic …