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End-to-End Fast Training of Communication Links Without a Channel Model
  via Online Meta-Learning

End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning

International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020
3 March 2020
Sangwoo Park
Osvaldo Simeone
Joonhyuk Kang
ArXiv (abs)PDFHTML

Papers citing "End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning"

10 / 10 papers shown
Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer Optimization
Online Meta-Learning Channel Autoencoder for Dynamic End-to-end Physical Layer OptimizationIEEE Wireless Communications and Networking Conference (WCNC), 2025
Ali Owfi
Jonathan D. Ashdown
K. Turck
224
1
0
03 Jan 2025
Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire Surveillance
Explainable Semantic Federated Learning Enabled Industrial Edge Network for Fire SurveillanceIEEE Transactions on Industrial Informatics (IEEE TII), 2024
Li Dong
Yubo Peng
Feibo Jiang
Kezhi Wang
Kun Yang
292
9
0
31 Dec 2024
Large Generative Model Assisted 3D Semantic Communication
Large Generative Model Assisted 3D Semantic Communication
Feibo Jiang
Yubo Peng
Li Dong
Kezhi Wang
Kun Yang
Cunhua Pan
Xiaohu You
227
21
0
09 Mar 2024
Domain Generalization in Machine Learning Models for Wireless
  Communications: Concepts, State-of-the-Art, and Open Issues
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open IssuesIEEE Communications Surveys and Tutorials (COMST), 2023
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
Ekram Hossain
OODAI4CE
298
57
0
13 Mar 2023
Semantics-Empowered Communication: A Tutorial-cum-Survey
Semantics-Empowered Communication: A Tutorial-cum-Survey
Zhilin Lu
Rongpeng Li
Kun Lu
Xianfu Chen
Ekram Hossain
Zhifeng Zhao
Honggang Zhang
610
24
0
16 Dec 2022
Enabling Deep Learning-based Physical-layer Secret Key Generation for
  FDD-OFDM Systems in Multi-Environments
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-EnvironmentsIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2022
Xinwei Zhang
Guyue Li
Junqing Zhang
Linning Peng
A. Hu
Xianbin Wang
257
22
0
06 Nov 2022
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned
  Linear Filters based on Long-Short Term Channel Decomposition
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition
Sangwoo Park
Osvaldo Simeone
225
4
0
23 Mar 2022
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear
  Filters and Equilibrium Propagation
Predicting Flat-Fading Channels via Meta-Learned Closed-Form Linear Filters and Equilibrium Propagation
Sangwoo Park
Osvaldo Simeone
301
9
0
01 Oct 2021
A Channel Coding Benchmark for Meta-Learning
A Channel Coding Benchmark for Meta-Learning
Rui Li
Ondrej Bohdal
Rajesh K. Mishra
Hyeji Kim
Da Li
Nicholas D. Lane
Timothy M. Hospedales
407
10
0
15 Jul 2021
AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results
AI-Aided Online Adaptive OFDM Receiver: Design and Experimental Results
Peiwen Jiang
Tianqi Wang
B. Han
Xuanxuan Gao
Jing Zhang
Chao-Kai Wen
Shi Jin
Geoffrey Ye Li
268
43
0
17 Dec 2018
1
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