We experimentally demonstrated a 125-GHz-grid WDM coherent transmission over 2,000-km Raman amplified ULAF with 800-Gbit/s/carrier net-bit-rate based on 100-Gbaud truncated PS-64QAM. Our results show that the MIMO-VNLE outperforms the SISO-VNLE by around 67% reach improvement.
We realized 420-Gbit/s/channel WDM coherent transmission over 4,000-km ULAF utilizing a novel well-expandable Ring-Wise Neural Network equalizer (RW-NNE) targeted to PS-64QAM signals. Results show that our RW-NNE with 25.3%-lower complexity outperforms normal NNE by 25% reach improvement.
Real-time traffic monitoring is essential in many novel applications, from traffic management to smart navigation systems. The large number of traffic cameras being integrated into urban infrastructures has enabled efficient traffic monitoring as an intervention in reducing traffic accidents and related casualties. In this paper, we focus on the problem of the automatic detection of anomalous driving behaviors, e.g., speeding or stopping on a bike lane, by using the traffic-camera feed that is available online. This can play an important role in personalized route-planning applications where, for instance, a user wants find the safest paths to get to a destination. We present an integrated system that accurately detects, tracks, and classifies vehicles using online traffic-camera feed.
Using PT modulation, real-time channel power monitoring with 1.5 dB accuracy and optical layer signaling with receiver sensitivity less than -30 dBm after 1500 km transmission are achieved with negligible penalty to 100G/200G traffic.
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