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 …

In this paper, we investigate two important issues of faster-than-Nyquist (FTN) signaling,
namely, reduced-complexity detection and code design. Different from previous works, we …

We consider the application of the factor graph framework for symbol detection on linear
inter-symbol interference channels. Based on the Ungerboeck observation model, a …

Faster-than-Nyquist (FTN) signaling is a candidate non-orthonormal transmission technique
to improve the spectral efficiency (SE) of future communication systems. However, such …

In this letter, we investigate the use of machine learning (ML) to reduce the detection
complexity of faster-than-Nyquist (FTN) signaling. In particular, we view the FTN signaling …

Faster-than-Nyquist (FTN) signaling is an attractive transmission technique which
accelerates data symbols beyond the Nyquist rate to improve the spectral efficiency; …

This paper studies the application of neural networks to Viterbi detection of Faster-Than-
Nyquist (FTN) signals in an intersymbol interference (ISI) channel. In particular, we propose …

We study the application of the factor graph framework for symbol detection on linear inter-
symbol interference channels. Cyclic factor graphs have the potential to yield low-complexity …

This paper proposes to use graph neural networks (GNNs) for equalization, that can also be
used to perform joint equalization and decoding (JED). For equalization, the GNN is build …

With the rapid development of various services in wireless communications, spectrum
resource has become increasingly valuable. Faster than Nyquist (FTN) signaling, proposed …