High-Rate Convolutional Codes with CRC-Aided List Decoding for Short Blocklengths

التفاصيل البيبلوغرافية
العنوان: High-Rate Convolutional Codes with CRC-Aided List Decoding for Short Blocklengths
المؤلفون: Sui, Wenhui, Yang, Hengjie, Towell, Brendan, Asmani, Ava, Wesel, Richard D.
سنة النشر: 2021
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Computer Science - Information Theory
الوصف: Recently, rate-$1/\omega$ zero-terminated and tail-biting convolutional codes (ZTCCs and TBCCs) with cyclic-redundancy-check (CRC)-aided list decoding have been shown to closely approach the random-coding union (RCU) bound for short blocklengths. This paper designs CRCs for rate-$(\omega-1)/\omega$ CCs with short blocklengths, considering both the ZT and TB cases. The CRC design seeks to optimize the frame error rate (FER) performance of the code resulting from the concatenation of the CRC and the CC. Utilization of the dual trellis proposed by Yamada \emph{et al.} lowers the complexity of CRC-aided serial list Viterbi decoding (SLVD) of ZTCCs and TBCCs. CRC-aided SLVD of the TBCCs closely approaches the RCU bound at a blocklength of $128$.
Comment: 6 pages; submitted to 2022 IEEE International Conference on Communications (ICC 2022)
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2111.07929
رقم الأكسشن: edsarx.2111.07929
قاعدة البيانات: arXiv