Photonics Research, Volume. 11, Issue 5, 878(2023)
Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network
Fig. 1. Experimental setup. The full link consists of a transmission stage, the optical fiber, the photonic neural network (PNN) device, and the receiver stage. Two fast photodetectors (RX1 and RX2) allow for measuring the input and the transmitted signals. The inset shows the actual design of the PNN device, where one can observe the cascaded
Fig. 2. Testing of the photonic neural network device on a 125 km fiber link. (a)–(c) Eye diagrams of (a) the input signal, (b) the transmitted signal without the PNN device in the link, and (c) the transmitted signal with the trained PNN device in the link. The dashed red lines refer to the sampling time that is used to generate the histograms. (d)–(f) Histograms of the power levels associated with the 2nd sample in the input bit sequence for (d) the input signal, (e) the transmitted signal without the PNN device in the link, and (f) the transmitted signal with the trained PNN device in the link. The red and green columns refer to the input 0s and 1s, respectively. The dashed vertical lines set the decision threshold. The sub-optimal choice of the threshold in (e) derives from discretization of the possible threshold values. (g) The actual temporal sequences for the transmitted signal as recorded by the RX2 (line with the PNN device in the link, dashed line without). The light black line refers to the digital input. Circles highlight the 2nd sample in each bit that is used in the BER calculations. Horizontal dashed lines show the different thresholds for the equalized and non-equalized data used to minimize the BER. Threshold values are rescaled according to the normalization used to plot the curves.
Fig. 3. Training outcomes for signal equalization as a function of the fiber link length. (a) The optimized experimental currents and (b) the simulated optimized relative phase shifts in channels 2 (blue dots), 3 (green stars), and 4 (red triangles) after the training. Error bars in (a) (barely visible) derive from the instrument output precision, not from statistics. The phase shifts in (b) are measured in each channel with respect to the 1st channel (no spiral). PSO is chosen as the training algorithm in both cases.
Fig. 4. (a)–(c) Experimental (full lines) and simulated (dashed lines) BER versus the PRX curves: the black discs refer to the back-to-back (BTB) configuration (the transmission stage is directly interfaced to the receiver), the red stars to the transmission by a fiber link, and the blue triangles to the transmission by a fiber link with the PNN device. Dashed horizontal black lines refer to the pre-FEC threshold value. The error bars are calculated as the standard deviation over multiple acquisitions (see Appendix
Fig. 5. (a) BER versus the link length with a
Fig. 6. Experimental setup. The different symbols are self-explanatory and are discussed in the text. The inset shows the design of the PNN device.
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Emiliano Staffoli, Mattia Mancinelli, Paolo Bettotti, Lorenzo Pavesi, "Equalization of a 10 Gbps IMDD signal by a small silicon photonics time delayed neural network," Photonics Res. 11, 878 (2023)
Category: Silicon Photonics
Received: Dec. 12, 2022
Accepted: Mar. 16, 2023
Published Online: May. 4, 2023
The Author Email: Emiliano Staffoli (emiliano.staffoli@unitn.it)