Deep Learning in Physical Layer: Review on Data Driven End-to-End Communication Systems and their Enabling Semantic Applications
Deep Learning (DL) has enabled a paradigm shift in wireless communication system with
data driven end-to-end (E2E) learning and optimization of the Physical Layer (PHY). By …
data driven end-to-end (E2E) learning and optimization of the Physical Layer (PHY). By …
Joint transceiver optimization for wireless communication PHY using neural network
Deep learning has a wide application in the area of natural language processing and image
processing due to its strong ability of generalization. In this paper, we propose a novel …
processing due to its strong ability of generalization. In this paper, we propose a novel …
A GAN-GRU Based Space-Time Predictive Channel Model for 6G Wireless Communications
The advent of sixth-generation (6 G) wireless communications has posed significant
challenges to channel modeling. Channel measurements cannot cover all scenarios and …
challenges to channel modeling. Channel measurements cannot cover all scenarios and …
[引用][C] Survey on Deep Learning Techniques for Wireless Communications
T Diamandis - EE 359 Final Project Stanford university, 2017
Channel prediction and transmitter authentication with adversarially-trained recurrent neural networks
KS Germain, F Kragh - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
As wireless communications and interconnected networks become ubiquitous and relied
upon, they must also remain secure. Advanced communication systems that use techniques …
upon, they must also remain secure. Advanced communication systems that use techniques …
Learning for detection: A deep learning wireless communication receiver over Rayleigh fading channels
A Al-Baidhani, HH Fan - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
The evolution of data driven optimization has been shown advantageous in many
applications. In this paper, we propose a deep learning architecture for the wireless …
applications. In this paper, we propose a deep learning architecture for the wireless …
Decoding 5g-nr communications via deep learning
P Henarejos, MÁ Vázquez - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Upcoming modern communications are based on 5G specifications and aim at providing
solutions for novel vertical industries. One of the major changes of the physical layer is the …
solutions for novel vertical industries. One of the major changes of the physical layer is the …
Deep learning-based channel estimation algorithm over time selective fading channels
The research about deep learning application for physical layer has been received much
attention in recent years. In this paper, we propose a Deep Learning (DL) based channel …
attention in recent years. In this paper, we propose a Deep Learning (DL) based channel …
Deep learning-based channel prediction for edge computing networks toward intelligent connected vehicles
G Liu, YAN Xu, Z He, Y Rao, J Xia, L Fan - IEEE Access, 2019 - ieeexplore.ieee.org
With the development of intelligent connected vehicles (ICVs), there emerge many new
services and applications which involve intensive computation. To support the intensive …
services and applications which involve intensive computation. To support the intensive …
Learning to communicate with autoencoders: Rethinking wireless systems with deep learning
ME Morocho-Cayamcela, JN Njoku… - … in Information and …, 2020 - ieeexplore.ieee.org
The design and implementation of conventional communication systems are based on
strong probabilistic models and assumptions. These fixed and conventional communication …
strong probabilistic models and assumptions. These fixed and conventional communication …