A Novel Ultra-Reliable Decoder of Short Rate-Compatible Codes for Mission Critical Communications

In this correspondence, towards the ultra-reliable low-latency requirements of mission critical communications (MCC) in autonomous driving, we design a novel ordered likelihood decoder (OLD) for short rate-compatible (RC) codes. Based on the linear approximation of ordered reliability sequence, we model the probability of test error patterns (TEPs) to the flipping weight (FW), which only corresponds to the flipped positions of most reliable basis (MRB). Then, an integer partitions-aided TEPs generating criterion (GC) is proposed to generate the ordered TEPs in near-optimal. Further, by combining the weighted Hamming distance (WHD) estimation and the proposed TEPs GC, a stopping criterion is given to terminate the decoding when the most likely TEP is found. Comparing to the existing ordered statistics decoders (OSD) for RC coding schemes, simulation results show that the proposed OLD can achieve superior performance in terms of error-rate performance and decoding complexity.