A group of researchers from Universitat Politècnica de Catalunya in Barcelona and the telecom company Huawei have retooled an artificial intelligence technique used for chess and self-driving cars to make OTNs run more efficiently. They will present their research at the upcoming Optical Fiber Conference and Exposition, to be held 3-7 March in San Diego, California, USA.
New work leveraging machine learning could increase the efficiency of optical telecommunications networks. As our world becomes increasingly interconnected, fiber optic cables offer the ability to transmit more data over longer distances compared to traditional copper wires. Optical Transport Networks require rules for how to divvy up the high amounts of traffic they manage and writing the rules for making those split-second decisions becomes very complex. If the network gives more space than needed for a voice call, for example, the unused space might have been better put to use ensuring that an end user streaming a video doesn’t get “still buffering” messages. OTNs have emerged as a solution for packaging data in fiber optic cables, and improvements look to make them more cost-effective.
The Optical Fiber Conference and Exhibition (OFC) is the largest global conference and exhibition for optical communications and networking professionals. For more than 40 years, OFC has drawn attendees from all corners of the globe to meet and greet, teach and learn, make connections and move business forward.
OFC includes dynamic business programming, an exhibition of more than 700 companies, and high impact peer-reviewed research that, combined, showcase the trends and pulse of the entire optical networking and communications industry. OFC is managed by The Optical Society (OSA) and co-sponsored by OSA, the IEEE Communications Society (IEEE/ComSoc), and the IEEE Photonics Society. OFC 2019 will be held from 3-7 March 2019 at the San Diego Convention Center, California, USA. Follow @OFCConference, learn more at OFC Community LinkedIn, and watch highlights on OFC YouTube.
Authors: Jose Suarez-Varela, Albert Mestres, Junlin Yu, Li Kuang, Haoyu Feng, Pere Barlet-Ros, Albert Cabellos-Aparicio
Author Affiliations: Universitat Politècnica de Catalunya and Hauwei
Caption: The architecture of a deep reinforcement agent operating an Optical Transport Network.
Credit: José Suárez-Varela
Wilkinson + Associates for OFC
Photo source: shutterstock