In this paper, we consider the application of neural network for equalization of Faster-than-
Nyquist (FTN) Signaling. First, we formulate the detection problem as a supervised …

Faster-than-Nyquist signaling (FTNs) is capable of improving the signaling rate of
communication system, while yielding the inter-symbol interference (ISI) complicating the …

A deep learning assisted sum-product detection algorithm (DL-SPA) for faster-than-Nyquist
(FTN) signaling is proposed in this paper. The proposed detection algorithm concatenates a …

The modern and future communication systems demand higher data rate exceeds current
capabilities. Faster-than-Nyquist (FTN) signaling is a promising technique for the reason it …

Faster-than-Nyquist (FTN) signaling has attracted a lot of attentions for the fifth-generation
(5G) cellular communication systems. However, low-complexity receiver design for FTN …

A deep learning assisted sum-product detection algorithm (DL-SPDA) for faster-than-Nyquist
(FTN) signaling is proposed in this paper. The proposed detection algorithm works on a …

Faster-than-Nyquist (FTN) signaling is a potential technique to improve spectral efficiency
without reducing the bit error rate (BER) performance, but the severe inter-symbol …

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 …

Due to the inherent intersymbol interference (ISI), the detection for faster-than-Nyquisy (FTN)
signaling is long considered to be a challenging problem. In this paper, we study three …

Being capable of enhancing the spectral efficiency (SE), faster-than-Nyquist (FTN) signaling
is a promising approach for wireless communication systems. This paper investigates the …