ADMM-Based Decoder for Binary Linear Codes Aided by Deep Learning

  title={ADMM-Based Decoder for Binary Linear Codes Aided by Deep Learning},
  author={Yi Wei and M. Zhao and M. Lei},
  journal={IEEE Communications Letters},
  • Yi Wei, M. Zhao, +1 author M. Lei
  • Published 2020
  • Computer Science, Engineering, Mathematics
  • IEEE Communications Letters
Inspired by the recent advances in deep learning (DL), this work presents a deep neural network aided decoding algorithm for binary linear codes. Based on the concept of deep unfolding, we design a decoding network by unfolding the alternating direction method of multipliers (ADMM)-penalized decoder. In addition, we propose two improved versions of the proposed network. The first one transforms the penalty parameter into a set of iteration-dependent ones, and the second one adopts a specially… Expand
5 Citations
$l_2$-Box ADMM Decoding for LDPC Codes Over ISI Channels
Throughput Maximization for Polar Coded IR-HARQ Using Deep Reinforcement Learning
Deep unfolding of the weighted MMSE beamforming algorithm
  • 1
  • PDF
A Damped GAMP Detection Algorithm for OTFS System based on Deep Learning


Improved ADMM Penalized Decoder for Irregular Low-Density Parity-Check Codes
  • 32
On deep learning-based channel decoding
  • 214
  • PDF
Deep Learning Methods for Improved Decoding of Linear Codes
  • 244
  • PDF
Polar Decoding on Sparse Graphs with Deep Learning
  • 14
  • PDF
The ADMM Penalized Decoder for LDPC Codes
  • X. Liu, S. Draper
  • Computer Science, Mathematics
  • IEEE Transactions on Information Theory
  • 2016
  • 51
  • Highly Influential
  • PDF
Improved Penalty Functions of ADMM Penalized Decoder for LDPC Codes
  • 8
An Iterative Check Polytope Projection Algorithm for ADMM-Based LP Decoding of LDPC Codes
  • 20
Decomposition Methods for Large Scale LP Decoding
  • 100
  • PDF
AMP-Inspired Deep Networks for Sparse Linear Inverse Problems
  • 170
  • PDF
Using linear programming to Decode Binary linear codes
  • 508
  • PDF