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DeepRx: Fully Convolutional Deep Learning Receiver
v1v2 (latest)

DeepRx: Fully Convolutional Deep Learning Receiver

IEEE Transactions on Wireless Communications (TWC), 2020
4 May 2020
Mikko Honkala
D. Korpi
Janne M. J. Huttunen
ArXiv (abs)PDFHTML

Papers citing "DeepRx: Fully Convolutional Deep Learning Receiver"

40 / 40 papers shown
NeuromorphicRx: From Neural to Spiking Receiver
NeuromorphicRx: From Neural to Spiking ReceiverIEEE Transactions on Wireless Communications (TWC), 2025
Ankit Gupta
Onur Dizdar
Yun Chen
Fehmi Emre Kadan
Ata Sattarzadeh
Stephen Wang
108
0
0
04 Dec 2025
Fibbinary-Based Compression and Quantization for Efficient Neural Radio Receivers
Fibbinary-Based Compression and Quantization for Efficient Neural Radio Receivers
Roberta Fiandaca
Manil Dev Gomony
MQ
206
0
0
01 Nov 2025
Adaptive End-to-End Transceiver Design for NextG Pilot-Free and CP-Free Wireless Systems
Adaptive End-to-End Transceiver Design for NextG Pilot-Free and CP-Free Wireless Systems
Jiaming Cheng
Wei Chen
Bo Ai
119
2
0
29 Oct 2025
Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
Targeted Fine-Tuning of DNN-Based Receivers via Influence Functions
Marko Tuononen
Heikki Penttinen
Ville Hautamäki
258
0
0
19 Sep 2025
Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities
Deep Learning-based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and OpportunitiesIEEE Open Journal of the Communications Society (IEEE Open J. Commun. Soc.), 2025
Murat Temiz
Y. Zhang
Y. Fu
Chi Zhang
Chenfeng Meng
Orhan Kaplan
Christos Masouros
191
12
0
23 Aug 2025
ATLAS: AI-Native Receiver Test-and-Measurement by Leveraging AI-Guided Search
ATLAS: AI-Native Receiver Test-and-Measurement by Leveraging AI-Guided Search
M. Belgiovine
Suyash Pradhan
Johannes Lange
Michael Löhning
Kaushik R. Chowdhury
124
1
0
17 Aug 2025
Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
Out-of-Distribution Detection via Channelwise Feature Aggregation in Neural Network-Based Receivers
Marko Tuononen
Duy Vu
Dani Korpi
Vesa Starck
Ville Hautamäki
Ville Hautamäki
517
1
0
21 May 2025
A CNN-based End-to-End Learning for RIS-assisted Communication System
A CNN-based End-to-End Learning for RIS-assisted Communication System
N. Ginige
Nandana Rajatheva
Matti Latva-aho
224
1
0
18 Mar 2025
End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems
End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems
Nguyen Quang Hieu
D. Hoang
Diep N. Nguyen
Mohammad Abu Alsheikh
Carlos C. N. Kuhn
Yibeltal Alem
Ibrahim Radwan
3DH
206
1
0
06 Mar 2025
Rateless Joint Source-Channel Coding, and a Blueprint for 6G Semantic Communications System Design
Rateless Joint Source-Channel Coding, and a Blueprint for 6G Semantic Communications System Design
Saeed R. Khosravirad
525
3
0
10 Feb 2025
Deep Learning in Wireless Communication Receiver: A Survey
Deep Learning in Wireless Communication Receiver: A Survey
Shadman Rahman Doha
Ahmed Abdelhadi
266
7
0
25 Jan 2025
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise RatiosIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Marko Tuononen
Dani Korpi
Ville Hautamäki
FAtt
371
2
0
10 Jan 2025
LLM Agents as 6G Orchestrator: A Paradigm for Task-Oriented
  Physical-Layer Automation
LLM Agents as 6G Orchestrator: A Paradigm for Task-Oriented Physical-Layer Automation
Zhuoran Xiao
Chenhui Ye
Yunbo Hu
Honggang Yuan
Yihang Huang
Yijia Feng
Liyu Cai
Jiang Chang
AI4CELLMAG
218
11
0
21 Sep 2024
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep
  Receviers
Transfer-based Adversarial Poisoning Attacks for Online (MIMO-)Deep Receviers
Kunze Wu
Weiheng Jiang
Dusit Niyato
Yinghuan Li
Chuang Luo
AAML
496
0
0
04 Sep 2024
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK
  Constellations
A Machine Learning Approach for Simultaneous Demapping of QAM and APSK Constellations
Arwin Gansekoele
Alexios Balatsoukas-Stimming
Tom Brusse
Mark Hoogendoorn
Sandjai Bhulai
R. V. D. Mei
217
4
0
16 May 2024
Learning from the Best: Active Learning for Wireless Communications
Learning from the Best: Active Learning for Wireless CommunicationsIEEE wireless communications (IEEE Wireless Commun.), 2024
N. Soltani
Jifan Zhang
Batool Salehi
Debashri Roy
Rob Nowak
Kaushik R. Chowdhury
344
8
0
23 Jan 2024
Deep Learning-Based Pilotless Spatial Multiplexing
Deep Learning-Based Pilotless Spatial MultiplexingAsilomar Conference on Signals, Systems and Computers (ACSSC), 2023
D. Korpi
Mikko Honkala
Janne M. J. Huttunen
216
11
0
08 Dec 2023
Generative AI-Based Probabilistic Constellation Shaping With Diffusion
  Models
Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models
Mehdi Letafati
Samad Ali
Matti Latva-aho
DiffM
201
10
0
15 Nov 2023
AIR: Threats of Adversarial Attacks on Deep Learning-Based Information
  Recovery
AIR: Threats of Adversarial Attacks on Deep Learning-Based Information RecoveryIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Jinyin Chen
Jie Ge
Shilian Zheng
Linhui Ye
Haibin Zheng
Weiguo Shen
Keqiang Yue
Xiaoniu Yang
AAML
264
4
0
17 Aug 2023
A Comparative Study of Deep Learning and Iterative Algorithms for Joint
  Channel Estimation and Signal Detection in OFDM Systems
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM SystemsSignal Processing (Signal Process.), 2023
Haocheng Ju
Haimiao Zhang
Lin Li
Xiao Li
B. Dong
BDL
381
6
0
07 Mar 2023
Pay Less But Get More: A Dual-Attention-based Channel Estimation Network
  for Massive MIMO Systems with Low-Density Pilots
Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density PilotsIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Binggui Zhou
Xi Yang
Shaodan Ma
Fei Gao
Guanghua Yang
296
19
0
02 Mar 2023
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive
  MIMO Systems
Message Passing Meets Graph Neural Networks: A New Paradigm for Massive MIMO SystemsIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Hengtao He
Xianghao Yu
Jun Zhang
Shenghui Song
Khaled B. Letaief
313
38
0
14 Feb 2023
Bit Error and Block Error Rate Training for ML-Assisted Communication
Bit Error and Block Error Rate Training for ML-Assisted CommunicationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Reinhard Wiesmayr
Gian Marti
C. Dick
Haochuan Song
Christoph Studer
362
14
0
25 Oct 2022
Detect to Learn: Structure Learning with Attention and Decision Feedback
  for MIMO-OFDM Receive Processing
Detect to Learn: Structure Learning with Attention and Decision Feedback for MIMO-OFDM Receive ProcessingIEEE Transactions on Communications (IEEE Trans. Commun.), 2022
Jiarui Xu
Lianjun Li
Lizhong Zheng
Lingjia Liu
356
15
0
17 Aug 2022
Graph Neural Networks for Channel Decoding
Graph Neural Networks for Channel Decoding
Sebastian Cammerer
J. Hoydis
Fayçal Ait Aoudia
Alexander Keller
GNN
299
44
0
29 Jul 2022
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory
Bit-Metric Decoding Rate in Multi-User MIMO Systems: TheoryIEEE Transactions on Wireless Communications (TWC), 2022
P. Srinath
J. Hoydis
296
5
0
11 Mar 2022
DeepTx: Deep Learning Beamforming with Channel Prediction
DeepTx: Deep Learning Beamforming with Channel PredictionIEEE Transactions on Wireless Communications (TWC), 2022
Janne M. J. Huttunen
D. Korpi
Mikko Honkala
338
21
0
16 Feb 2022
Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear
  Power Amplifier
Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier
D. Korpi
Mikko Honkala
Janne M. J. Huttunen
Fayccal Ait Aoudia
J. Hoydis
213
14
0
14 Jan 2022
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with
  Fully Convolutional Network
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network
Bile Peng
Jan-Aike Termöhlen
Cong Sun
Danping He
K. Guan
Tim Fingscheidt
Eduard Axel Jorswieck
174
3
0
08 Jan 2022
Learning OFDM Waveforms with PAPR and ACLR Constraints
Learning OFDM Waveforms with PAPR and ACLR Constraints
Mathieu Goutay
Fayccal Ait Aoudia
J. Hoydis
J. Gorce
275
7
0
21 Oct 2021
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM
  Detection
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection
Jiarui Xu
Zhou Zhou
Lianjun Li
Lizhong Zheng
Lingjia Liu
302
31
0
03 Oct 2021
Blind Coherent Preamble Detection via Neural Networks
Blind Coherent Preamble Detection via Neural Networks
Jafar Mohammadi
Gerhard Schreiber
T. Wild
Yejian Chen
AI4TS
187
2
0
30 Sep 2021
Waveform Learning for Next-Generation Wireless Communication Systems
Waveform Learning for Next-Generation Wireless Communication Systems
Fayçal Ait Aoudia
J. Hoydis
319
50
0
02 Sep 2021
HybridDeepRx: Deep Learning Receiver for High-EVM Signals
HybridDeepRx: Deep Learning Receiver for High-EVM SignalsIEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021
Jaakko Pihlajasalo
D. Korpi
Mikko Honkala
Janne M. J. Huttunen
T. Riihonen
J. Talvitie
Alberto Brihuega
M. Uusitalo
M. Valkama
285
18
0
30 Jun 2021
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints
Mathieu Goutay
Fayçal Ait Aoudia
J. Hoydis
J. Gorce
255
16
0
30 Jun 2021
Signal Processing Based Deep Learning for Blind Symbol Decoding and
  Modulation Classification
Signal Processing Based Deep Learning for Blind Symbol Decoding and Modulation ClassificationIEEE Journal on Selected Areas in Communications (JSAC), 2021
Samer S. Hanna
C. Dick
D. Cabric
273
49
0
19 Jun 2021
Trimming the Fat from OFDM: Pilot- and CP-less Communication with
  End-to-end Learning
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning
Fayçal Ait Aoudia
J. Hoydis
312
13
0
20 Jan 2021
Machine Learning for MU-MIMO Receive Processing in OFDM Systems
Machine Learning for MU-MIMO Receive Processing in OFDM SystemsIEEE Journal on Selected Areas in Communications (JSAC), 2020
Mathieu Goutay
Fayçal Ait Aoudia
J. Hoydis
J. Gorce
338
28
0
15 Dec 2020
DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative
  Transformations
DeepRx MIMO: Convolutional MIMO Detection with Learned Multiplicative Transformations
D. Korpi
Mikko Honkala
Janne M. J. Huttunen
Vesa Starck
196
44
0
30 Oct 2020
End-to-end Learning for OFDM: From Neural Receivers to Pilotless
  Communication
End-to-end Learning for OFDM: From Neural Receivers to Pilotless CommunicationIEEE Transactions on Wireless Communications (TWC), 2020
Fayçal Ait Aoudia
J. Hoydis
396
148
0
11 Sep 2020
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