Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 69, Issue 8, Pages 9174-9179Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2020.3000074
Keywords
Complexity theory; Frequency-domain analysis; Time-domain analysis; Maximum likelihood estimation; Binary phase shift keying; Detectors; Bandwidth; FTN signaling; time-domain equalization; frequency-domain equalization
Categories
Funding
- Australian Research Council [DP190101363]
- National Natural Science Foundation of China [61771364]
- Research and Development Project of Guangdong Province [2018B010114001]
- UNSW Digital Grid Futures Institute
- UNSW, Sydney
- Engineering and Physical Sciences Research Council [EP/N004558/1, EP/P034284/1, EP/P003990/1]
- Royal Society's Global Challenges Research Fund
- European Research Council's Advanced Fellow Grant QuantCom
- Linkage Project [LP170101196]
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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.
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