Abstract
Faster-Than-Nyquist (FTN) signaling has been recognized as a promising technique for next-generation high data rate communications. By intentionally reducing the symbol interval, FTN signaling is capable of transmitting more symbols than classic Nyquist signaling within the same time period and bandwidth. However, the intentional non-orthogonality of the bandlimited signaling pulses imposes severe inter-symbol interference (ISI), which requires powerful equalization at the receiver. Hence, we embark on the comparison of time-and frequency-domain equalization for FTN signaling both by theoretical analysis and numerical simulations. It is shown that frequency-domain equalization fails to reliably detect the FTN signal with a low FTN packing factor, while the time-domain equalization still performs well.
Original language | English |
---|---|
Article number | 9108634 |
Pages (from-to) | 9174-9179 |
Number of pages | 6 |
Journal | IEEE Transactions on Vehicular Technology |
Volume | 69 |
Issue number | 8 |
Early online date | 4 Jun 2020 |
DOIs | |
Publication status | Published - Aug 2020 |
Externally published | Yes |
Bibliographical note
This work was supported in part by the Australian Research Council Discovery Projects under Grant DP190101363, in part by the Linkage Project under Grant LP170101196, in part by the National Natural Science Foundation of China under Grants 61771364, and in part by the Research and Development Project of Guangdong Province under Grant 2018B010114001. The work of Derrick Wing Kwan Ng was supported in part by the funding from the UNSW Digital Grid Futures Institute, UNSW, Sydney, under a cross-disciplinary fund scheme and in part by the Australian Research Council’s Discovery Project (DP190101363). The work of Lajos Hanzo was supported of the Engineering and Physical Sciences Research Council projects EP/N004558/1, EP/P034284/1, EP/P034284/1, EP/P003990/1 (COALESCE), of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom.Keywords
- frequency-domain equalization
- FTN signaling
- time-domain equalization