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An efficient dynamic schedule for layered belief-propagation decoding of LDPC codes

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2 Author(s)
Guojun Han ; Department of Electronic and Communications Engineering, Sun Yat-sen University, and with Guangdong University of Technology ; Xingcheng Liu

An efficient dynamic schedule for layered belief-propagation (LBP) decoding of low-density parity-check (LDPC) codes is presented, in which the check nodes connecting to a variable node with maximum relative message residual are chosen in each dynamic decoding iteration, and then LBP is performed for these check nodes. In this schedule we combined the features of lazy schedule and node-wise residual belief propagation (NWRBP) together while keeping the extra computational complexity very low. Simulation results show that the new schedule speeds up the convergence rate and greatly improves error performance at medium to high signal-to-noise ratio (SNR) when compared to the standard LBP decoding algorithm.

Published in:

IEEE Communications Letters  (Volume:13 ,  Issue: 12 )