Machine Learning in Optical Communication Networks is the application of AI models to optimize, monitor, and control optical data transmission. NEC Labs America develops techniques for fault prediction, traffic management, and adaptive modulation using machine learning. These methods improve efficiency, reduce downtime, and support scalable communication systems, ensuring that global networks can meet the demands of AI workloads and cloud computing.
Optical transmission networks require intelligent traffic adaptation and efficient spectrum usage. We present scalable machine learning (ML) methods for network performance modeling, andfield trials of distributed fiber sensing and classic optical network traffic coexistence.
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NEC Laboratories America, Inc. (NEC Labs) is the US-based center for NEC Corporation’s global network of corporate research laboratories. Our diverse research groups collaborate with industry, academia and governments to provide disruptive solutions to complex problems. A leader in the integration of IT and network technologies with more than 100 years of expertise, NEC provides a combination of products and solutions that cross-utilize the company’s experience and global resources to meet the complex and ever-changing needs of its customers.