2019 IEEE Global Communications Conference (GLOBECOM) 2019
DOI: 10.1109/globecom38437.2019.9014092
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A List-Decoding Approach to Low-Complexity Soft Maximum-Likelihood Decoding of Cyclic Codes

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Cited by 5 publications
(2 citation statements)
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“…In the short block length regime, concatenating an inner convolutional code with an outer CRC code (referred to hereafter as ''CRC+CC'') with moderate/small memory has shown remarkable performance, closely approaching finite block length bounds [8] even at low error rates, while maintaining doable decoding complexity [4]. Extensive research has been conducted on CRC+CC schemes [1], [4], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21].…”
Section: Introductionmentioning
confidence: 99%
“…In the short block length regime, concatenating an inner convolutional code with an outer CRC code (referred to hereafter as ''CRC+CC'') with moderate/small memory has shown remarkable performance, closely approaching finite block length bounds [8] even at low error rates, while maintaining doable decoding complexity [4]. Extensive research has been conducted on CRC+CC schemes [1], [4], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21].…”
Section: Introductionmentioning
confidence: 99%
“…Recently, convolutional codes concatenated with CRCs have shown excellent performance in short blocklength regimes [10]- [12]. Yang et al in [10] show that a tail-biting convolutional code (TBCC) concatenated with CRC can achieve FER performance very close to random short-blocklength RCU bound when the decoder implements the serial list Viterbi decoding (S-LVD) algorithm.…”
Section: Introductionmentioning
confidence: 99%