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An Iterative BP-CNN Architecture for Channel Decoding

An Iterative BP-CNN Architecture for Channel Decoding

18 July 2017
Fei Liang
Cong Shen
Feng Wu
ArXivPDFHTML

Papers citing "An Iterative BP-CNN Architecture for Channel Decoding"

35 / 35 papers shown
Title
Transformer-based Wireless Symbol Detection Over Fading Channels
Transformer-based Wireless Symbol Detection Over Fading Channels
Li Fan
Jing Yang
Cong Shen
36
0
0
20 Mar 2025
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph
  Reinforcement Learning-based Connection Management
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management
Ravikumar Balakrishnan
Marius Arvinte
N. Himayat
Hosein Nikopour
Hassnaa Moustafa
AAML
24
2
0
06 May 2024
Hybrid HMM Decoder For Convolutional Codes By Joint Trellis-Like
  Structure and Channel Prior
Hybrid HMM Decoder For Convolutional Codes By Joint Trellis-Like Structure and Channel Prior
Haoyu Li
Xuan Wang
Tong Liu
Dingyi Fang
Baoying Liu
20
0
0
26 Oct 2022
Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent
  Semantic Communications
Neuro-Symbolic Causal Reasoning Meets Signaling Game for Emergent Semantic Communications
Christo Kurisummoottil Thomas
Walid Saad
24
31
0
21 Oct 2022
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
CRISP: Curriculum based Sequential Neural Decoders for Polar Code Family
Ashwin Hebbar
Viraj Nadkarni
Ashok Vardhan Makkuva
S. Bhat
Sewoong Oh
Pramod Viswanath
16
6
0
01 Oct 2022
TinyTurbo: Efficient Turbo Decoders on Edge
TinyTurbo: Efficient Turbo Decoders on Edge
Ashwin Hebbar
Rajesh K. Mishra
S. Ankireddy
Ashok Vardhan Makkuva
Hyeji Kim
Pramod Viswanath
17
9
0
30 Sep 2022
Privacy-Preserving Decentralized Inference with Graph Neural Networks in
  Wireless Networks
Privacy-Preserving Decentralized Inference with Graph Neural Networks in Wireless Networks
Mengyuan Lee
Guanding Yu
H. Dai
26
11
0
15 Aug 2022
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial
  Attacks and Training
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training
B. Manoj
Meysam Sadeghi
Erik G. Larsson
AAML
6
11
0
14 Jun 2022
A recipe of training neural network-based LDPC decoders
A recipe of training neural network-based LDPC decoders
Guangwen Li
Xiaofei Yu
11
0
0
01 May 2022
Interference Suppression Using Deep Learning: Current Approaches and
  Open Challenges
Interference Suppression Using Deep Learning: Current Approaches and Open Challenges
T. Oyedare
Vijay K. Shah
D. Jakubisin
Jeffrey H. Reed
11
34
0
16 Dec 2021
A Signal Detection Scheme Based on Deep Learning in OFDM Systems
A Signal Detection Scheme Based on Deep Learning in OFDM Systems
Guangliang Pan
Zitong Liu
Wen Wang
Minglei Li
17
0
0
24 Jul 2021
Decentralized Inference with Graph Neural Networks in Wireless
  Communication Systems
Decentralized Inference with Graph Neural Networks in Wireless Communication Systems
Mengyuan Lee
Guanding Yu
H. Dai
GNN
35
39
0
19 Apr 2021
Robust Adversarial Attacks Against DNN-Based Wireless Communication
  Systems
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems
Alireza Bahramali
Milad Nasr
Amir Houmansadr
Dennis Goeckel
Don Towsley
AAML
32
53
0
01 Feb 2021
Adversarial Attacks on Deep Learning Based Power Allocation in a Massive
  MIMO Network
Adversarial Attacks on Deep Learning Based Power Allocation in a Massive MIMO Network
B. Manoj
Meysam Sadeghi
Erik G. Larsson
AAML
17
23
0
28 Jan 2021
The Next Decade of Telecommunications Artificial Intelligence
The Next Decade of Telecommunications Artificial Intelligence
Ouyang Ye
Lilei Wang
Aidong Yang
Le Su
David Belanger
Tongqing Gao
Leping Wei
Yaqin Zhang
16
17
0
19 Jan 2021
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with
  Finite Block Length
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length
Cheng Wang
Kang Wei
L. Kong
Long Shi
Z. Mei
Jun Li
K. Cai
14
5
0
11 Apr 2020
The Threat of Adversarial Attacks on Machine Learning in Network
  Security -- A Survey
The Threat of Adversarial Attacks on Machine Learning in Network Security -- A Survey
Olakunle Ibitoye
Rana Abou-Khamis
Mohamed el Shehaby
Ashraf Matrawy
M. O. Shafiq
AAML
21
68
0
06 Nov 2019
A Regression Approach to Certain Information Transmission Problems
A Regression Approach to Certain Information Transmission Problems
Wenyi Zhang
Yizhu Wang
Cong Shen
Ning Liang
15
5
0
10 Jun 2019
A Novel Deep Neural Network Based Approach for Sparse Code Multiple
  Access
A Novel Deep Neural Network Based Approach for Sparse Code Multiple Access
Jinzhi Lin
Shengzhong Feng
Zhile Yang
Yun Zhang
Yong Zhang
16
32
0
04 Jun 2019
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
13
141
0
26 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
17
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 Autoencoders
Avi Caciularu
D. Burshtein
12
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
13
24
0
09 Mar 2019
Towards Hardware Implementation of Neural Network-based Communication
  Algorithms
Towards Hardware Implementation of Neural Network-based Communication Algorithms
Fayçal Ait Aoudia
J. Hoydis
17
10
0
19 Feb 2019
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
17
33
0
17 Dec 2018
Learning from the Syndrome
Learning from the Syndrome
Loren Lugosch
W. Gross
14
28
0
23 Oct 2018
Adversarial Attacks on Deep-Learning Based Radio Signal Classification
Adversarial Attacks on Deep-Learning Based Radio Signal Classification
Meysam Sadeghi
Erik G. Larsson
AAML
14
255
0
23 Aug 2018
Towards Optimal Power Control via Ensembling Deep Neural Networks
Towards Optimal Power Control via Ensembling Deep Neural Networks
Fei Liang
Cong Shen
Wei Yu
Feng Wu
11
225
0
26 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
11
5
0
12 Jul 2018
Neural Network Detection of Data Sequences in Communication Systems
Neural Network Detection of Data Sequences in Communication Systems
Nariman Farsad
Andrea J. Goldsmith
39
281
0
31 Jan 2018
Near Maximum Likelihood Decoding with Deep Learning
Near Maximum Likelihood Decoding with Deep Learning
Eliya Nachmani
Yaron Bachar
Elad Marciano
D. Burshtein
Yair Be’ery
9
25
0
08 Jan 2018
Artificial Neural Networks-Based Machine Learning for Wireless Networks:
  A Tutorial
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
Mingzhe Chen
Ursula Challita
Walid Saad
Changchuan Yin
Mérouane Debbah
15
207
0
09 Oct 2017
RNN Decoding of Linear Block Codes
RNN Decoding of Linear Block Codes
Eliya Nachmani
Elad Marciano
D. Burshtein
Yair Be’ery
AI4CE
72
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
87
2,169
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
81
456
0
16 Jul 2016
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