Receiver Design for Faster-than-Nyquist Signaling: Deep-learning-based Architectures
Peiyang Song, Fengkui Gong, Qiang Li, Guo Li, Haiyang Ding
2020
IEEE Access
Faster-than-Nyquist (FTN) is a promising paradigm to improve bandwidth utilization at the expense of additional intersymbol interference (ISI). ...
INDEX TERMS Faster-than-Nyquist, receiver design, signal detection, deep learning, intersymbol interference, channel coding. 68866 This work is licensed under a Creative Commons Attribution 4.0 License ...
ROBUSTNESS TO SNR MISMATCHING It is very important for the proposed DL-based detection to be robust to the SNR values, without which the proposed DL-based detection will be trained and employed for different ...
doi:10.1109/access.2020.2986679
fatcat:t6fv7dl2fbfljp5gknmwvktxgm