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1707.03384
Cited By
Deep Learning-Based Communication Over the Air
11 July 2017
Sebastian Dörner
Sebastian Cammerer
J. Hoydis
S. Brink
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Papers citing
"Deep Learning-Based Communication Over the Air"
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Title
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Xianfu Chen
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Bit Error and Block Error Rate Training for ML-Assisted Communication
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Over-the-Air Split Machine Learning in Wireless MIMO Networks
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Zhaoyang Zhang
Yuqing Tian
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Chongwen Huang
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Economics of Semantic Communication System: An Auction Approach
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Hongyang Du
Wei Yang Bryan Lim
Zehui Xiong
Dusit Niyato
Chunyan Miao
Dong In Kim
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02 Aug 2022
Overview of Deep Learning-based CSI Feedback in Massive MIMO Systems
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Chao-Kai Wen
Shi Jin
Geoffrey Ye Li
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Short Blocklength Wiretap Channel Codes via Deep Learning: Design and Performance Evaluation
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Rémi A. Chou
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Seokjoo Shin
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Combining AI/ML and PHY Layer Rule Based Inference -- Some First Results
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Jiyong Han
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Autoencoder-based Communications with Reconfigurable Intelligent Surfaces
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Digital Signal Processing Using Deep Neural Networks
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Y. Watkins
Nicole Man
Michael Girard
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Semantic Communication with Adaptive Universal Transformer
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Rongpeng Li
Zhifeng Zhao
Chenghui Peng
Honggang Zhang
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End-to-End Deep Learning of Long-Haul Coherent Optical Fiber Communications via Regular Perturbation Model
V. Neskorniuk
A. Carnio
V. Bajaj
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S. Turitsyn
Jaroslaw E. Prilepsky
Vahid Aref
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Semantic Communications for Speech Recognition
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Zhijin Qin
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HybridDeepRx: Deep Learning Receiver for High-EVM Signals
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Mikko Honkala
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T. Riihonen
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Alberto Brihuega
M. Uusitalo
M. Valkama
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Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation Classification
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C. Dick
D. Cabric
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Distributed Learning in Wireless Networks: Recent Progress and Future Challenges
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
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Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach
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Yuyi Mao
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Machine Learning for MU-MIMO Receive Processing in OFDM Systems
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6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
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Sergio Barbarossa
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DeepWiPHY: Deep Learning-based Receiver Design and Dataset for IEEE 802.11ax Systems
Yuyao Zhang
Akash S. Doshi
Rob Liston
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Xiaoqing Zhu
J. Andrews
R. Heath
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19 Oct 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
Jihong Park
S. Samarakoon
Anis Elgabli
Joongheon Kim
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Mérouane Debbah
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Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles
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Peng Cheng
Zhuo Chen
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Deep unfolding of the weighted MMSE beamforming algorithm
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Joakim Jaldén
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Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling
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Germán Bassi
Mikael Skoglund
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AEVB-Comm: An Intelligent CommunicationSystem based on AEVBs
Raghu vamshi Hemadri
Akshay Rayaluru
R. Pandya
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Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications
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M. Chagnon
Vahid Aref
F. Ferreira
D. Lavery
P. Bayvel
Laurent Schmalen
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Deep Learning for Wireless Communications
T. Erpek
Tim O'Shea
Y. Sagduyu
Yi Shi
T. Clancy
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DeepRx: Fully Convolutional Deep Learning Receiver
Mikko Honkala
D. Korpi
Janne M. J. Huttunen
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Deep Learning for Massive MIMO Channel State Acquisition and Feedback
Mahdi Boloursaz Mashhadi
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A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO
Ahmet M. Elbir
Kumar Vijay Mishra
Bhavani Shankar
Björn E. Ottersten
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Deep Learning for Over-the-Air Non-Orthogonal Signal Classification
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I. Darwazeh
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Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels
Yihan Jiang
Hyeji Kim
Himanshu Asnani
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
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Conditional Mutual Information Neural Estimator
Sina Molavipour
Germán Bassi
Mikael Skoglund
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Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels
Sangwoo Park
Osvaldo Simeone
Joonhyuk Kang
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Complexity-Scalable Neural Network Based MIMO Detection With Learnable Weight Scaling
A. Mohammad
C. Masouros
Y. Andreopoulos
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Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
Le Liang
Hao Ye
Guanding Yu
Geoffrey Ye Li
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194
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A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access
Jinzhi Lin
Shengzhong Feng
Zhile Yang
Yun Zhang
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34
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Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification
Shichuan Chen
Shilian Zheng
Lifeng Yang
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Design of Communication Systems using Deep Learning: A Variational Inference Perspective
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Sheetal Kalyani
39
22
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Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks
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T. Koike-Akino
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26
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Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics
Hongmei Wang
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Shuai Ma
Songtao Lu
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Guoru Ding
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Deep Learning for Channel Coding via Neural Mutual Information Estimation
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Rafael F. Schaefer
Gerhard Wunder
47
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