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Despite the great promises that the resistive random access memory (ReRAM)has shown as the next generation of non-volatile memory technology, itscrossbar array structure leads to a severe sneak path interference to thesignal read back from the memory cell. In this paper, we first propose a novelbelief propagation (BP) based detector for the sneak path interference inReRAM. Based on the conditions for a sneak path to occur and the dependence ofthe states of the memory cells that are involved in the sneak path, a Tannergraph for the ReRAM channel is constructed, inside which specific messages areupdated iteratively to get a better estimation of the sneak path affectedcells. We further combine the graph of the designed BP detector with that ofthe BP decoder of the polar codes to form a joint detector and decoder.Tailored for the joint detector and decoder over the ReRAM channel, effectivepolar codes are constructed using the genetic algorithm. Simulation resultsshow that the BP detector can effectively detect the cells affected by thesneak path, and the proposed polar codes and the joint detector and decoder cansignificantly improve the error rate performance of ReRAM.

Belief Propagation based Joint Detection and Decoding for Resistive Random Access Memories