OPTICAL NETWORKING & SENSING
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Optics & Photonics for Social ICT
The high-speed, high-precision, energy-efficient nature of optics and photonics makes it ideally suited for next-generation ICT-based social solutions that drive societal well-being and efficiency. With our world-leading academic partners, we are investigating state-of-the-art optics and photonics for social value innovations, including safety and security solutions and environmental sensing.
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Multidimensional Optical Processing
After setting the standing 100Tb/s world record for the transmission capacity of a single-mode optical fiber deployed in current networks, we are now leading a forward-looking investigation of the transmission-capacity potential of multidimensional optical processing and coded modulation in space division multiplexed (SDM) optical transmission systems, wherein different spatial modes in a single fiber can be used as parallel data channels to increase aggregate transmission capacity.
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Agile DSP-Based Optical Transmission Systems
With exponential traffic growth projected from mobile and cloud applications, optical networks powering the Internet backbone will require orders-of-magnitude transmission capacity gains. At the core of our innovation in this area are agile digital signal processing (DSP)-based approaches, including digital Nyquist spectral shaping, DSP-based nonlinearity compensation and advanced soft-decision forward error correction (FEC) that optimize spectrum utilization, maximize transmission reach and provide data rate flexibility.
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Software-Defined Optical Networking
Software-defined networking (SDN) is an emerging technology that decouples network control from forwarding, making the network programmable to simplify management and enable fast provisioning. While SDN has traditionally considered small-scale networks and higher-layer applications, our research focuses on extending SDN to large-scale optical networks and the fundamental photonic, WDM, SONET/SDH and OTN layers.
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AI-Aided Transmission Systems with Photonic Signal Processing
With exponential traffic growth demand from 5G and cloud applications, optical networks powering the Internet backbone will require orders-of-magnitude improvement in capacity and latency while minimizing the carbon footprint of transmission systems. Advanced signal processing approaches aided by artificial intelligence are at the core of our innovation in this area.
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Intelligent Optical Networking
Software-defined networking (SDN) is an emerging technology that decouples network control from forwarding, making the network programmable to simplify management and enable fast provisioning. While SDN has traditionally considered small-scale networks and higher-layer applications, our research focuses on extending SDN to large-scale optical networks and the fundamental photonic, WDM, SONET/SDH and OTN layers.
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Multimodal Distributed Optical Sensing
Due to many advantages, such as high sensitivity, low latency, immunity to EMI, robustness, large quantity of sensing points, intrinsic synchronization, and multimodal detection, distributed fiber optic sensing (DFOS) technology has grown in recent years and has seen applications in more fields.
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Physics-Informed Sensing AI
Fiber sensing can detect physical parameters such as phase and polarization changes in optical signals. This optical data needs to be interpreted into human-understandable events and scene information for real-world applications.
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