IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Regular and irregular progressive edge-growth tanner graphs
IEEE Transactions on Information Theory
Efficient Serial Message-Passing Schedules for LDPC Decoding
IEEE Transactions on Information Theory
Iterative decoding of compound codes by probability propagation in graphical models
IEEE Journal on Selected Areas in Communications
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Layered Belief-Propagation (LBP) with dynamic schedule for Low-Density Parity-Check (LDPC) codes using variable nodes residual is presented. The proposed schedule outperforms the conventional LBP with predetermined schedule both in terms of convergence speed and error performance. As compared with Node-wised Residual Belief-Propagation (NRBP), it has much lower extra complexity. For LDPC code constructed by PEG, simulation results show that the new schedule offers better error performance and requires much lower extra complexity.