CRC-Aided List Decoding of Convolutional Codes in the Short Blocklength Regime

Yang, Hengjie; Liang, Ethan; Pan, Meiyan; Wesel, Richard D.

doi:10.1109/tit.2022.3150717

Cited by 16 publications

(3 citation statements)

References 47 publications

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“…Notably, for (n, k) = (128,64), the TBCC with m = 14 under WAVA has the best performance among all other short codes [25]. When using CRC-aided list Viterbi decoding [52], TBCCs also remain competitive [53].…”

Section: ) Decoding Of Convolutional Codesmentioning

confidence: 99%

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Channel Coding Toward 6G: Technical Overview and Outlook

Rowshan,

Qiu,

Xie

et al. 2024

IEEE Open J. Commun. Soc.

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Channel coding plays a pivotal role in ensuring reliable communication over wireless channels. With the growing need for ultra-reliable communication in emerging wireless use cases, the significance of channel coding has amplified. Furthermore, minimizing decoding latency is crucial for critical-mission applications, while optimizing energy efficiency is paramount for mobile and the Internet of Things (IoT) communications. As the fifth generation (5G) of mobile communications is currently in operation and 5G-advanced is on the horizon, the objective of this paper is to assess prominent channel coding schemes in the context of recent advancements and the anticipated requirements for the sixth generation (6G). In this paper, after considering the potential impact of channel coding on key performance indicators (KPIs) of wireless networks, we review the evolution of mobile communication standards and the organizations involved in the standardization, from the first generation (1G) to the current 5G, highlighting the technologies integral to achieving targeted KPIs such as reliability, data rate, latency, energy efficiency, spectral efficiency, connection density, and traffic capacity. Following this, we delve into the anticipated requirements for potential use cases in 6G. The subsequent sections of the paper focus on a comprehensive review of three primary coding schemes utilized in past generations and their recent advancements: lowdensity parity-check (LDPC) codes, turbo codes (including convolutional codes), and polar codes (alongside Reed-Muller codes). Additionally, we examine alternative coding schemes like Fountain codes (also known as rate-less codes), sparse regression codes, among others. Our evaluation includes a comparative analysis of error correction performance and the performance of hardware implementation for these coding schemes, providing insights into their potential and suitability for the upcoming 6G era. Lastly, we will briefly explore considerations such as higher-order modulations and waveform design, examining their contributions to enhancing key performance indicators in conjunction with channel coding schemes.

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Section: ) Decoding Of Convolutional Codesmentioning

confidence: 99%

“…We further consider three TBCCs with memories m = 8, 11, 14 under WAVA [25]. In addition, we include a TBCC with m = 8 under CRC-aided list Viterbi algorithm (CRC-LVA) with a 10-bit CRC optimized based on distance spectrum [53]. The simulation parameters are summarized in Table 13.…”

Section: Volume 31mentioning

confidence: 99%

Channel Coding Toward 6G: Technical Overview and Outlook

Rowshan,

Qiu,

Xie

et al. 2024

IEEE Open J. Commun. Soc.

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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%

Performance Improvement of Space Missions Using Convolutional Codes by CRC-Aided List Viterbi Algorithms

2023

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We analyze the performance of enhanced spread spectrum Aloha (E-SSA) in the framework of unsourced multiple access (UMAC). The asynchronous, unframed transmission of E-SSA is modified to enable a direct comparison with framed UMAC schemes, as well as with the Polyanskiy's achievability bound. The design of E-SSA is tailored to the peculiarities of the UMAC setting, resorting to short polar codes and the use of a timing channel to improve the energy efficiency of the protocol. We assess the impact of the preamble length and of the spreading factor on the system efficiency. The resulting scheme exhibits simplicity at the transmitter and linear complexity with respect to the number of active users at the receiver, approaching the UMAC achievability bound in close competition with the best known UMAC schemes.

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Fast Polar Decoding With Successive Cancellation List Creeper Algorithm

Timokhin,

Ivanov

2024

IEEE Access

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CRC-Aided List Decoding of Convolutional Codes in the Short Blocklength Regime

Cited by 16 publications

References 47 publications

Channel Coding Toward 6G: Technical Overview and Outlook

Channel Coding Toward 6G: Technical Overview and Outlook

Performance Improvement of Space Missions Using Convolutional Codes by CRC-Aided List Viterbi Algorithms

Fast Polar Decoding With Successive Cancellation List Creeper Algorithm

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