A Novel Framework for Combined Error Suppression and Correction in ReRAM: Constrained-Polarized Cascaded Codes With Adaptive BP Detection

Resistive Random-Access Memory (ReRAM)—a core component of nanoscale mixed-signal storage circuits—faces a unique data-dependent challenge, sneak path (SP) interference, which severely limits its use in high-density integrated systems. With the rapid advancement of high-density ReRAM crossbar architectures, independently designed constrained coding or error-correcting coding (ECC) often introduces excessive hardware redundancy. It fails to synergistically optimize SP suppression and channel noise correction, reducing the integration and energy efficiency of ReRAM-based circuits. To address this, this paper proposes a unified multi-module collaborative storage error-control framework, achieving “suppression-correction” dual optimization for SP interference in one system. Constrained codes built on the maximum mutual information principle significantly lower SP occurrence probability while preserving channel capacity. An optimized adaptive belief propagation (BP) detection algorithm enables precise estimation of ReRAM array-stored data, and polar codes efficiently correct residual errors. Simulation results show the unified framework greatly improves array data discrimination accuracy. This work not only offers a new paradigm for balancing reliability and efficiency in practical ReRAM storage circuit design but also connects information theory with nanoscale mixed-signal circuit implementation.