Галерея 3058978
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Abstract: This letter proposes an efficient probability-based ordered-statistics decoding (PB-OSD) algorithm for short block-length codes. In PB-OSD, we derive two probabilistic me... View more
This letter proposes an efficient probability-based ordered-statistics decoding (PB-OSD) algorithm for short block-length codes. In PB-OSD, we derive two probabilistic measures on the codeword estimates and test error patterns, respectively referred to as the success probability and promising probability. Based on these probabilities, a stopping criterion and a discarding criterion are developed to reduce the number of test error patterns and limit the decoding complexity. To further reduce the complexity, we propose a tree-based search strategy to find the most likely test error patterns in reprocessing stage of the OSD algorithm. Simulation results show that PB-OSD significantly reduces the decoding complexity under the same error performance, compared to the original OSD algorithm.
Published in: IEEE Communications Letters ( Volume: 25 , Issue: 6 , June 2021 )
Date of Publication: 12 February 2021
References is not available for this document.
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Short code design and related decoding algorithms have rekindled a great deal of interest among industry and academia recently [1], [2]. This interest was triggered by the stringent requirements of the new ultra-reliable and low-latency communications (URLLC) use cases in 5G, which mandate the use of high-performance short block-length codes [1].
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
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