Improved Signal Quality Estimation Technique for Optical Networks

Lead  Prof. Alan P. T. LAU

Department of Electrical and Electronic Engineering

Driven by the need for scalable, on-demand applications, cloud services have rapidly gained popularity, which introduces challenges in managing surging traffic demand while maintaining reliable, high-speed network performance.

Prof. Alan Lau and his team have researched advanced real-time signal quality estimation for better optimisation of network traffic without loss of reliability. Adopted by a global cloud provider, the research outcomes have enhanced the network stability and operational efficiency to support more flexible management of dynamic traffic.

The technology has served millions of corporate clients, including around 190 Fortune Global 500 companies, and benefited billions of end users worldwide. The application has also been extended to cloud infrastructure at the Paris 2024 Olympic Games to support massive viewership and strong digital engagement.

Moving forward, with the unprecedented demand for computing and connectivity driven by the boom of AI, smarter networking enables the agility needed to respond to rapidly changing demand.