The rapid increase in number and capacity of broadband applications such as high-quality video, 5G, cloud computing and Big Data, places huge demands on capacity and flexibility throughout today’s information network infrastructure, which depends mainly on fiber optic transmission technology. Therefore, how to build a smart optical information network capable of transmitting extremely large amounts of continuously generated data with low latency, adaptability and high information security becomes a global challenge.
The Intelligent Optical Communications for Extremely Big Data Networks (I-OCOM) project researches and skillfully combines machine learning and digital signal processing techniques to develop a smart optical information system with simple configuration, high performance, adaptability and flexibility for extremely large data networks, dynamic data traffic of many Terabits (1012 bits) per second. This will be the first smart optical information system in the world capable of: 1) Self-detecting and overcoming factors that degrade system quality such as linear and nonlinear signal distortions without need to measure channel status; 2) Adapt to transmission channel conditions in extremely large data networks by selecting and identifying appropriate transmission channel parameters to improve system quality; 3) Real-time monitoring and control of channel and network parameters to predict network errors, congestion, network monitoring and control.
The I-OCOM project is implemented by the information and communication network technology research group of the University of Danang, led by Associate Professor Dr. Nguyen Tan Hung as the PI.
