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Neural Network Detection of Data Sequences in Communication Systems

Neural Network Detection of Data Sequences in Communication Systems

31 January 2018
Nariman Farsad
Andrea J. Goldsmith
ArXivPDFHTML

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

26 / 26 papers shown
Title
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Blind Channel Estimation and Joint Symbol Detection with Data-Driven Factor Graphs
Luca Schmid
Tomer Raviv
Nir Shlezinger
Laurent Schmalen
33
5
0
23 Jan 2024
Knowledge Distillation Based Semantic Communications For Multiple Users
Knowledge Distillation Based Semantic Communications For Multiple Users
Chenguang Liu
Yuxin Zhou
Yunfei Chen
Shuang-Hua Yang
28
5
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 Learning
Jianrui Chen
Jingjing Wang
Chunxiao Jiang
Yong Ren
L. Hanzo
38
14
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
24
0
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 Optimization
Nir Shlezinger
Yonina C. Eldar
Stephen P. Boyd
35
130
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
37
24
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 Complexity
Edgar Beck
C. Bockelmann
Armin Dekorsy
22
12
0
25 Feb 2021
Model-Based Machine Learning for Communications
Model-Based Machine Learning for Communications
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
33
23
0
12 Jan 2021
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
30
317
0
15 Dec 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
28
386
0
04 Nov 2020
Learned Factor Graphs for Inference from Stationary Time Sequences
Learned Factor Graphs for Inference from Stationary Time Sequences
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
21
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
28
27
0
18 May 2020
Data-Driven Symbol Detection via Model-Based Machine Learning
Data-Driven Symbol Detection via Model-Based Machine Learning
Nariman Farsad
Nir Shlezinger
Andrea J. Goldsmith
Yonina C. Eldar
29
49
0
14 Feb 2020
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO
  Detection
DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection
Nir Shlezinger
Rong Fu
Yonina C. Eldar
45
102
0
08 Feb 2020
Data-Driven Factor Graphs for Deep Symbol Detection
Data-Driven Factor Graphs for Deep Symbol Detection
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
30
48
0
31 Jan 2020
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
32
40
0
11 Nov 2019
Deep Learning based Wireless Resource Allocation with Application to
  Vehicular Networks
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks
Le Liang
Hao Ye
Guanding Yu
Geoffrey Ye Li
30
194
0
07 Jul 2019
Unsupervised Linear and Nonlinear Channel Equalization and Decoding
  using Variational Autoencoders
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational Autoencoders
Avi Caciularu
D. Burshtein
20
48
0
21 May 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
26
24
0
09 Mar 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
8
82
0
24 Jan 2019
Wireless Network Intelligence at the Edge
Wireless Network Intelligence at the Edge
Jihong Park
S. Samarakoon
M. Bennis
Mérouane Debbah
21
518
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
38
79
0
30 Nov 2018
Learning to Detect
Learning to Detect
N. Samuel
Tzvi Diskin
A. Wiesel
28
431
0
19 May 2018
RNN Decoding of Linear Block Codes
RNN Decoding of Linear Block Codes
Eliya Nachmani
Elad Marciano
D. Burshtein
Yair Be’ery
AI4CE
80
87
0
24 Feb 2017
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
89
2,174
0
02 Feb 2017
Learning to Decode Linear Codes Using Deep Learning
Learning to Decode Linear Codes Using Deep Learning
Eliya Nachmani
Yair Be’ery
D. Burshtein
95
456
0
16 Jul 2016
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