Channel coding is one of the workhorses of the physical layer, enabling reliable and energy-
efficient data transmission. In this article, we highlight the core innovations in channel coding …

Massive machine type communication (mMTC) is expected to support the connections of
billion devices, where a sporadic short packet transmission is a key feature for mMTC …

In this article we present an iterative system of equalization and decoding to manage the
intersymbol interference over an additive white Gaussian noise (AWGN) channel. Following …

We investigate the application of the factor graph framework for blind joint channel
estimation and symbol detection on time-variant linear inter-symbol interference channels. In …

The receiver design for multi-input multi-output (MIMO) ultra-reliable and low-latency
communication (URLLC) systems can be a tough task due to the use of short channel codes …

The dramatic increment of Internet of Things (IoT) devices has become a challenging
problem in wireless communications. The IoT devices have the characteristic of sporadic …

Isolated training with Gaussian priors (TGP) of the component autoencoders of turbo-
autoencoder architectures enables faster, more consistent training and better generalization …

For improving short-length codes, we demonstrate that classic decoders can also be used
with real-valued, neural encoders, ie, deep-learning based “codeword” sequence …

As a new communication paradigm, semantic communication has received widespread
attention in communication fields. However, since the decoding of semantic signals relies on …

Channel coding and signal reconstruction are critical tasks in communication systems to
ensure reliable and efficient data transmission. Traditional approaches, such as turbo codes …