Ordered Reliability Bits Guessing Random Additive Noise Decoding

Error correction techniques traditionally focus on the co-design of restricted code-structures in tandem with code-specific decoders that are computationally efficient when decoding long codes hardware. Modern applications are, however, driving demand for ultra-reliable low-latency communications (URLLC), rekindling interest performance shorter, higher-rate error correcting codes, and raising possibility revisiting universal, code-agnostic decoders. To end, here we introduce a soft-detection variant Guessing Random Additive Noise Decoding (GRAND) called Ordered Reliability Bits GRAND can accurately decode any moderate redundancy block-code. It is designed circuit implementation mind, determines accurate decodings while retaining original hard detection algorithm's suitability highly parallelized ORBGRAND shown to provide excellent soft decision block distinct classes (BCH, CA-Polar RLC) modest complexity, providing better rate than CA-SCL, state art decoder. offers an accurate, energy decoder suitable delivering URLLC single hardware realization.