Journal ArticleDOI
Comparison of Convolutional and Block Codes for Low Structural Delay
TLDR
It turns out that-depending on the code rate and given delay-convolutional codes are able to outperform fundamental lower bounds for block codes, yielding a definite result on the question, which codes are superior in this regime.Abstract:
The performance of short block length low-density parity-check (LDPC) codes (both binary and nonbinary) and convolutional codes is compared under the constraint of tight structural delay constraints. Additionally, we use fundamental bounds on block codes and low rate turbo codes to evaluate our results in a broader context. It turns out that—depending on the code rate and given delay—convolutional codes are able to outperform fundamental lower bounds for block codes, yielding a definite result on the question, which codes are superior in this regime. From a break-even point onward, convolutional codes cannot compete with block codes anymore and nonbinary LDPC codes show the best performance. Turbo codes with a short interleaver length show competitive results.read more
Citations
More filters
Book ChapterDOI
Lower Bounds to Error Probability for Coding on Discrete Memoryless Channels. I
Neil J. A. Sloane,Aaron D. Wyner +1 more
TL;DR: The paper is presented in two parts: the first, appearing here, summarizes the major results and treats the case of high transmission rates in detail; the second, to appear in the subsequent issue, treats the cases of low transmission rates.
Journal ArticleDOI
High-Reliability and Low-Latency Wireless Communication for Internet of Things: Challenges, Fundamentals, and Enabling Technologies
TL;DR: This tutorial paper reviews the various application scenarios, fundamental performance limits, and potential technical solutions for high-reliability and low-latency (HRLL) wireless IoT networks, which all have significant impacts on latency and reliability.
Journal ArticleDOI
Channel Coding for High Performance Wireless Control in Critical Applications: Survey and Analysis
TL;DR: A detailed analysis of currently used short packet coding schemes in industrial wireless sensor networks, including seven coding schemes and their possible variants, and proposes four principles to filter the most promising coding schemes.
Proceedings ArticleDOI
LEARN Codes: Inventing Low-Latency Codes via Recurrent Neural Networks
TL;DR: This work proposes a new class of codes under low latency constraint — Low-latency Efficient Adaptive Robust Neural (LEARN) codes, which outperform the state-of-the-art low latency codes as well as exhibit robustness and adaptivity properties.
Journal ArticleDOI
1.5 Gbit/s FPGA Implementation of a Fully-Parallel Turbo Decoder Designed for Mission-Critical Machine-Type Communication Applications
TL;DR: A novel resource-efficient version of the FPTD algorithm is proposed, which reduces its computational resource requirement by 50%, which enhancing its suitability for field-programmable gate array (FPGA) implementations.
References
More filters
Journal ArticleDOI
A mathematical theory of communication
TL;DR: This final installment of the paper considers the case where the signals or the messages or both are continuously variable, in contrast with the discrete nature assumed until now.
Book
The Theory of Error-Correcting Codes
TL;DR: This book presents an introduction to BCH Codes and Finite Fields, and methods for Combining Codes, and discusses self-dual Codes and Invariant Theory, as well as nonlinear Codes, Hadamard Matrices, Designs and the Golay Code.
Book
Information Theory and Reliable Communication
TL;DR: This chapter discusses Coding for Discrete Sources, Techniques for Coding and Decoding, and Source Coding with a Fidelity Criterion.
Journal ArticleDOI
Channel Coding Rate in the Finite Blocklength Regime
TL;DR: It is shown analytically that the maximal rate achievable with error probability ¿ isclosely approximated by C - ¿(V/n) Q-1(¿) where C is the capacity, V is a characteristic of the channel referred to as channel dispersion, and Q is the complementary Gaussian cumulative distribution function.