Designing channel codes under low-latency constraints is one of the most demanding requirements in 5G standards. However, a sharp characterization of the performance of …
C Deng, SLB Yuan - ICASSP 2019-2019 IEEE International …, 2019 - ieeexplore.ieee.org
Error-correcting codes are very important in modern communication systems. In this paper, we investigate efficient reduced-complexity deep neural network (DNN)-aided channel …
X Xiao, B Vasic, R Tandon, S Lin - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
In this paper, we introduce a method of using quantized neural networks (QNN) to design finite alphabet message passing decoders (FAID) for Low-Density Parity Check (LDPC) …
H Yang, E Liang, M Pan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
We consider the concatenation of a convolutional code (CC) with an optimized cyclic redundancy check (CRC) code as a promising paradigm for good short blocklength codes …
We present a novel framework for applying deep neural networks (DNN) to soft decoding of linear codes at arbitrary block lengths. Unlike other approaches, our framework allows …
There have been significant research activities in recent years to automate the design of channel encoders and decoders via deep learning. Due the dimensionality challenge in …
We consider the design of efficient neural-network based algorithms, referred to as neural decoders, for decoding linear and non-linear block codes, such as Hamming and constant …
Coding theory is a central discipline underpinning wireline and wireless modems that are the workhorses of the information age. Progress in coding theory is largely driven by …
CY Lou, B Daneshrad, RD Wesel - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Cyclic redundancy check (CRC) codes check if a codeword is correctly received. This paper presents an algorithm to design CRC codes that are optimized for the code-specific error …