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 …

Designing codes that combat the noise in a communication medium has remained a
significant area of research in information theory as well as wireless communications …

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 …

In this article, we investigate deep auto-encoders for channel coding to combat the curse of
dimensionality commonly existing in learning based coding. Inspired by convolutional …

Recently deep neural networks have been successfully applied in channel coding to
improve the decoding performance. However, the state-of-the-art neural channel decoders …

Polar codes are widely used state-of-the-art codes for reliable communication that have
recently been included in the $5^{\text {th}} $ generation wireless standards ($5 $ G) …

Designing channel codes is one of the core research areas for modern communication
systems. Canonical channel codes asymptotically achieve near-capacity performance under …

Channel Coding has been one of the central disciplines driving the success stories of
current generation LTE systems and beyond. In particular, turbo codes are mostly used for …

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 …