Paper
1 February 2014 Pulse-shaping for spectrally-efficient coherent optical networks: OFDM, Nyquist signaling, and DFT-spread OFDM
R. Schmogrow, P. C. Schindler, C. Koos, W. Freude, J. Leuthold
Author Affiliations +
Abstract
Pulse-shaping is a powerful tool to increase the spectral efficiency of signals transmitted over optical fiber. Two main contenders, namely OFDM and Nyquist signaling have emerged as promising candidates for future optical networks. As a third option, DFT-spread OFDM combines the two techniques. Although all techniques are well-known in wireless and wireline communications, the extremely high data rates are challenging when designing real-time optical transmitters and receivers, particularly in view of the special impairments imposed by the optical transmission channel. After giving a theoretical overview on OFDM and Nyquist signals, we show the system design for the three pulse-shaping techniques and discuss the processing requirements and the potential performance in terms of spectral efficiency and out-of-band signal suppression. We further investigate the impact of modulator nonlinearity and limited resolution of DACs and ADCs on the different signals. Finally, we demonstrate real-time OFDM and Nyquist pulse generation with data rates beyond 100 Gbit/s transmitted on a single optical carrier and in a single polarization.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Schmogrow, P. C. Schindler, C. Koos, W. Freude, and J. Leuthold "Pulse-shaping for spectrally-efficient coherent optical networks: OFDM, Nyquist signaling, and DFT-spread OFDM", Proc. SPIE 9009, Next-Generation Optical Communication: Components, Sub-Systems, and Systems III, 900909 (1 February 2014); https://doi.org/10.1117/12.2044388
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CITATIONS
Cited by 3 scholarly publications and 1 patent.
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KEYWORDS
Orthogonal frequency division multiplexing

Optical filters

Signal processing

Electronic filtering

Modulation

Filtering (signal processing)

Finite impulse response filters

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