Fujitsu Applies Deep Learning to Develop Estimation Technology for Optical Transmission Signal Parameters

Essential to building, operating and managing optical networks || Fujitsu Laboratories Ltd., Fujitsu Laboratories of America, Inc., Fujitsu R&D Center Co., Ltd.

Fujitsu Laboratories Ltd., Fujitsu Laboratories of America, Inc., and Fujitsu R&D Center Co., Ltd. today announced the development of technology for a framework to estimate optical signal transmission parameters from optical receivers. The companies have embarked on this development to simplify the building, operating, and managing of optical networks.

The companies have now developed technology that uses deep learning that can be trained on parameters to avoid the impact of systemic errors in optical signal transmission in the course of learning to estimate optical transmission signal parameters, which is an issue unique to optical communication systems, including for symbol rate and optical signal to noise ratio (OSNR). The companies developed an experimental transmission system within Fujitsu Laboratories that emulates an optical network, and with about 10 thousand pieces of data verified that this technology could estimate OSNR with a measurement error of 1%, and could estimate modulation format and symbol rate with a measurement error of 5%.

When problems arise in building or operating an optical network, this technology now makes it possible to accomplish tasks in a matter of minutes that would take an expert several days using specialized measurement equipment. This will contribute to considerably easing the building, operation and management of networks.

Details of this technology will be announced at the Optical Networking and Communication Conference & Exhibition 2018 (OFC 2018), the world’s largest international conference on fiber-optic communications, which is being held March 11-15 in San Diego.

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