FPGA-Based Ordered Statistic Decoding Architecture for B5G/6G URLLC IIOT Networks
Changhyeon Kim, Dongyoung Rim, Jeongwon Choe, Dongyun Kam, Giyoon Park, Seok-Ki Kim, Youngjoo Lee · 2021 IEEE Asian Solid-State Circuits Conference (A-SSCC) · 2021
The ordered statistic decoding (OSD) approach for short-length BCH codes has been continuously considered as one of the promising error-correction codes by achieving a block error rate (BLER) of less than $10^{-6}$, which is attractive to the ultra-reliable and low-latency communication (URLLC) for industrial IoT (IIOT) solutions [1], [2]. However, it is hard to directly realize the conventional OSD algorithm because of the compute-intensive Gaussian elimination and iterative reprocessing steps. Based on the recent segmentation discarding decoding (SDD) approach [3], in this work, we newly present an ultralow-latency OSD architecture reducing the decoding latency by 12 times, which is implemented at an FPGA-based verification platform.