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Neural Network Detection of Data Sequences in Communication Systems
v1v2v3 (latest)

Neural Network Detection of Data Sequences in Communication Systems

31 January 2018
Nariman Farsad
Andrea J. Goldsmith
ArXiv (abs)PDFHTML

Papers citing "Neural Network Detection of Data Sequences in Communication Systems"

50 / 52 papers shown
Title
The Role, Trends, and Applications of Machine Learning in Undersea Communication: A Bangladesh Perspective
Yousuf Islam
Sumon Chandra Das
Md. Jalal Uddin Chowdhury
91
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0
01 Mar 2025
Learning Short Codes for Fading Channels with No or Receiver-Only
  Channel State Information
Learning Short Codes for Fading Channels with No or Receiver-Only Channel State Information
Rishabh Sharad Pomaje
R. Bhat
110
0
0
13 Sep 2024
Spectral Masking with Explicit Time-Context Windowing for Neural
  Network-Based Monaural Speech Enhancement
Spectral Masking with Explicit Time-Context Windowing for Neural Network-Based Monaural Speech EnhancementIEEE Access (IEEE Access), 2024
L. V. Fiorio
B. Karanov
Bruno Defraene
Johan David
Wim J. van Houtum
Frans Widdershoven
Ronald M. Aarts
124
4
0
28 Aug 2024
Data-Driven Symbol Detection for Intersymbol Interference Channels with
  Bursty Impulsive Noise
Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise
B. Karanov
Chin-Hung Chen
Yan Wu
Alex Young
Wim J. van Houtum
284
3
0
17 May 2024
Advancing Security in AI Systems: A Novel Approach to Detecting
  Backdoors in Deep Neural Networks
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks
Khondoker Murad Hossain
Tim Oates
AAML
247
4
0
13 Mar 2024
On the Robustness of Deep Learning-aided Symbol Detectors to Varying
  Conditions and Imperfect Channel Knowledge
On the Robustness of Deep Learning-aided Symbol Detectors to Varying Conditions and Imperfect Channel KnowledgeIEEE Wireless Communications and Networking Conference (WCNC), 2024
Chin-Hung Chen
B. Karanov
Wim J. van Houtum
Wu Yan
Alex Young
Alex Alvarado
292
3
0
23 Jan 2024
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor GraphsIEEE Transactions on Communications (IEEE Trans. Commun.), 2024
Luca Schmid
Tomer Raviv
Stefano Rini
Laurent Schmalen
208
9
0
23 Jan 2024
Deep OFDM Channel Estimation: Capturing Frequency Recurrence
Deep OFDM Channel Estimation: Capturing Frequency Recurrence
Abu Shafin Mohammad Mahdee Jameel
Akshay Malhotra
Aly El Gamal
Shahab Hamidi-Rad
BDL
74
10
0
07 Jan 2024
Deep Learning-Based Detection for Marker Codes over Insertion and
  Deletion Channels
Deep Learning-Based Detection for Marker Codes over Insertion and Deletion ChannelsIEEE Transactions on Communications (IEEE Trans. Commun.), 2024
Guochen Ma
Xiaopeng Jiao
Jianjun Mu
Hui Han
Yaming Yang
310
7
0
02 Jan 2024
Knowledge Distillation Based Semantic Communications For Multiple Users
Knowledge Distillation Based Semantic Communications For Multiple UsersIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Chenguang Liu
Yuxin Zhou
Yunfei Chen
Shuang-Hua Yang
125
15
0
23 Nov 2023
Trust-Worthy Semantic Communications for the Metaverse Relying on
  Federated Learning
Trust-Worthy Semantic Communications for the Metaverse Relying on Federated LearningIEEE wireless communications (IEEE Wireless Commun.), 2023
Jianrui Chen
Jingjing Wang
Chunxiao Jiang
Yong Ren
L. Hanzo
180
22
0
16 May 2023
Interference Cancellation GAN Framework for Dynamic Channels
Interference Cancellation GAN Framework for Dynamic Channels
Hung T. Nguyen
S. Bottone
Kwang Taik Kim
M. Chiang
H. Vincent Poor
BDL
105
1
0
17 Aug 2022
Model-Based Deep Learning: On the Intersection of Deep Learning and
  Optimization
Model-Based Deep Learning: On the Intersection of Deep Learning and OptimizationIEEE Access (IEEE Access), 2022
Stefano Rini
Yonina C. Eldar
Stephen P. Boyd
227
152
0
05 May 2022
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
193
25
0
03 Oct 2021
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for
  Soft Detection with Low Complexity
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low ComplexityIEEE Transactions on Communications (IEEE Trans. Commun.), 2021
Edgar Beck
C. Bockelmann
Armin Dekorsy
214
12
0
25 Feb 2021
Model-Based Machine Learning for Communications
Model-Based Machine Learning for Communications
Stefano Rini
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
188
23
0
12 Jan 2021
Model-Based Deep Learning
Model-Based Deep LearningProceedings of the IEEE (Proc. IEEE), 2020
Stefano Rini
Jay Whang
Yonina C. Eldar
A. Dimakis
418
416
0
15 Dec 2020
FedRec: Federated Learning of Universal Receivers over Fading Channels
FedRec: Federated Learning of Universal Receivers over Fading Channels
Mahdi Boloursaz Mashhadi
Stefano Rini
Yonina C. Eldar
Deniz Gunduz
FedML
168
17
0
14 Nov 2020
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented
  Communications
6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications
Emilio Calvanese Strinati
Sergio Barbarossa
315
468
0
04 Nov 2020
Machine Learning in Nano-Scale Biomedical Engineering
Machine Learning in Nano-Scale Biomedical Engineering
Alexandros-Apostolos A. Boulogeorgos
Stylianos E. Trevlakis
Sotiris A. Tegos
V. Papanikolaou
G. Karagiannidis
AI4CE
175
34
0
05 Aug 2020
Configuration Learning in Underwater Optical Links
Configuration Learning in Underwater Optical Links
Xueyuan Zhao
Z. Qi
D. Pompili
122
1
0
03 Aug 2020
PR-NN: RNN-based Detection for Coded Partial-Response Channels
PR-NN: RNN-based Detection for Coded Partial-Response ChannelsIEEE Journal on Selected Areas in Communications (JSAC), 2020
Simeng Zheng
Yi Liu
P. Siegel
144
14
0
30 Jul 2020
Learned Factor Graphs for Inference from Stationary Time Sequences
Learned Factor Graphs for Inference from Stationary Time Sequences
Stefano Rini
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
348
24
0
05 Jun 2020
Experimental Investigation of Deep Learning for Digital Signal
  Processing in Short Reach Optical Fiber Communications
Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications
B. Karanov
M. Chagnon
Vahid Aref
F. Ferreira
D. Lavery
P. Bayvel
Laurent Schmalen
194
30
0
18 May 2020
Optical Fiber Communication Systems Based on End-to-End Deep Learning
Optical Fiber Communication Systems Based on End-to-End Deep Learning
B. Karanov
M. Chagnon
Vahid Aref
D. Lavery
P. Bayvel
Laurent Schmalen
79
4
0
18 May 2020
Data-Driven Symbol Detection via Model-Based Machine Learning
Data-Driven Symbol Detection via Model-Based Machine LearningSymposium on Software Performance (SP), 2020
Nariman Farsad
Stefano Rini
Andrea J. Goldsmith
Yonina C. Eldar
138
51
0
14 Feb 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO
  Detection
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO DetectionIEEE Transactions on Wireless Communications (TWC), 2020
Stefano Rini
Rong Fu
Yonina C. Eldar
176
117
0
08 Feb 2020
Data-Driven Factor Graphs for Deep Symbol Detection
Data-Driven Factor Graphs for Deep Symbol DetectionInternational Symposium on Information Theory (ISIT), 2020
Stefano Rini
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
209
52
0
31 Jan 2020
ANN-Based Detection in MIMO-OFDM Systems with Low-Resolution ADCs
ANN-Based Detection in MIMO-OFDM Systems with Low-Resolution ADCs
S. Rezaei
S. Affes
69
1
0
31 Jan 2020
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with FeedbackIEEE Journal on Selected Areas in Information Theory (JSAIT), 2019
David Burth Kurka
Deniz Gündüz
290
380
0
25 Nov 2019
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust
  between Human and Machine
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine
Weisi Guo
180
42
0
11 Nov 2019
Deep Neural Network Symbol Detection for Millimeter Wave Communications
Deep Neural Network Symbol Detection for Millimeter Wave CommunicationsGlobal Communications Conference (GLOBECOM), 2019
Yun Liao
Nariman Farsad
Stefano Rini
Yonina C. Eldar
Andrea J. Goldsmith
105
20
0
25 Jul 2019
A Neural Network Detector for Spectrum Sensing under Uncertainties
A Neural Network Detector for Spectrum Sensing under Uncertainties
Ziyu Ye
Qihang Peng
Kelly Levick
Huigui Rong
A. Gilman
P. Cosman
L. B. Milstein
164
2
0
15 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to
  Vehicular Networks
Deep Learning based Wireless Resource Allocation with Application to Vehicular NetworksProceedings of the IEEE (Proc. IEEE), 2019
Le Liang
Hao Ye
Guanding Yu
Geoffrey Ye Li
174
218
0
07 Jul 2019
A Regression Approach to Certain Information Transmission Problems
A Regression Approach to Certain Information Transmission ProblemsIEEE Journal on Selected Areas in Communications (JSAC), 2019
Wenyi Zhang
Yizhu Wang
Cong Shen
Ning Liang
136
6
0
10 Jun 2019
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol DetectionIEEE Transactions on Wireless Communications (TWC), 2019
Stefano Rini
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
204
157
0
26 May 2019
On Recurrent Neural Networks for Sequence-based Processing in
  Communications
On Recurrent Neural Networks for Sequence-based Processing in CommunicationsAsilomar Conference on Signals, Systems and Computers (ACSSC), 2019
Daniel Tandler
Sebastian Dörner
Sebastian Cammerer
S. Brink
176
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0
24 May 2019
MIST: A Novel Training Strategy for Low-latency Scalable Neural Net
  Decoders
MIST: A Novel Training Strategy for Low-latency Scalable Neural Net Decoders
Kumar Yashashwi
Deepak Anand
S. R. Pillai
P. Chaporkar
K. Ganesh
131
6
0
22 May 2019
Unsupervised Linear and Nonlinear Channel Equalization and Decoding
  using Variational Autoencoders
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational AutoencodersIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2019
Avi Caciularu
D. Burshtein
173
58
0
21 May 2019
LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs
LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCsInternational Conference on Speech Technology and Human-Computer Dialogue (ICSTHD), 2019
L. Chu
Ling Pei
Husheng Li
Robert C. Qiu
97
4
0
14 May 2019
Machine Learning in the Air
Machine Learning in the AirIEEE Journal on Selected Areas in Communications (JSAC), 2019
Deniz Gunduz
Paul de Kerret
N. Sidiropoulos
David Gesbert
C. Murthy
M. Schaar
AI4CE
145
204
0
28 Apr 2019
Deep Learning-Based Constellation Optimization for Physical Network
  Coding in Two-Way Relay Networks
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks
Toshiki Matsumine
T. Koike-Akino
Ye Wang
115
24
0
09 Mar 2019
Supervised ML Solution for Band Assignment in Dual-Band Systems with
  Omnidirectional and Directional Antennas
Supervised ML Solution for Band Assignment in Dual-Band Systems with Omnidirectional and Directional AntennasIEEE Transactions on Wireless Communications (TWC), 2019
Daoud Burghal
Rui Wang
Abdullah A. Alghafis
A. Molisch
143
9
0
28 Feb 2019
End-to-End Optimized Transmission over Dispersive Intensity-Modulated
  Channels Using Bidirectional Recurrent Neural Networks
End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks
B. Karanov
D. Lavery
P. Bayvel
Laurent Schmalen
153
87
0
24 Jan 2019
Wireless Network Intelligence at the Edge
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
244
551
0
07 Dec 2018
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
LEARN Codes: Inventing Low-latency Codes via Recurrent Neural Networks
Yihan Jiang
Hyeji Kim
Himanshu Asnani
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
219
83
0
30 Nov 2018
Polar Decoding on Sparse Graphs with Deep Learning
Polar Decoding on Sparse Graphs with Deep LearningAsilomar Conference on Signals, Systems and Computers (ACSSC), 2018
Weihong Xu
X. You
Chuan Zhang
Yair Be’ery
77
30
0
24 Nov 2018
Band Assignment in Dual Band Systems: A Learning-based Approach
Band Assignment in Dual Band Systems: A Learning-based Approach
Daoud Burghal
Rui Wang
A. Molisch
102
11
0
02 Oct 2018
Learning Optimal Resource Allocations in Wireless Systems
Learning Optimal Resource Allocations in Wireless SystemsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2018
Mark Eisen
Clark Zhang
Luiz F. O. Chamon
Daniel D. Lee
Alejandro Ribeiro
287
219
0
21 Jul 2018
Deep Learning Detection Networks in MIMO Decode-Forward Relay Channels
Deep Learning Detection Networks in MIMO Decode-Forward Relay Channels
Xianglan Jin
Hyoung-Nam Kim
93
5
0
12 Jul 2018
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