Fujitsu Applies Deep Learning to Develop Estimation Technology for Optical Transmission Signal Parameters
2018年3月12日 - 11:24AM
JCN Newswire (英)
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.
Development Background
Communications traffic on the optical networks that sustain an
ICT-powered society is expected to increase tremendously alongside
the number of devices connected to the internet in the years ahead.
In order to accommodate this volume of data, a number of new
optical transmission technologies are being adopted one after
another in optical networks, and it is believed that networks will
become even more diverse and complex. Consequently, demand exists
for technologies that will make it easier to build, operate and
manage optical networks.
Issues
Previously, when building an optical network, or when problems
arose in operating a network, it was necessary to send an expert in
this field with expensive and specialized measurement equipment to
a worksite, and conduct measurements and tests to determine the
cause. In optical networks that aim to boost capacity and distance,
the increasing complexity of types of optical transmission signals
and device parameter settings means that building the network or
fixing issues may require several days, leading to significant
issues in quickly building and managing fiber-optic networks. As a
result, demand has emerged for the development of technologies that
can remotely monitor the status of optical networks in order to
resolve these issues. There have been challenges, however, in
measuring the information that network operators and managers need
without relying on dedicated measurement devices due to the unique
optical signal characteristics of newly-deployed optical
transmission technologies.
http://www.acnnewswire.com/topimg/Low_SummaryNewlyDevelopedTechnologyF1.jpg
Figure 1: Summary of the newly developed technology
About the Newly Developed Technology
Fujitsu Laboratories, Fujitsu Laboratories of America, and Fujitsu
R&D Center have now developed technology to measure the optical
signal transmission parameters (signal to noise ratio, modulation
format, and symbol rate(1)) needed to build and operate a network
from optically transmitted signals in remote optical receivers.
This newly developed technology trains a deep neural network by
inputting the signals received by optical receivers into the
network. By using the results of measurement equipment to provide
supervisory labels, this technology trains the deep neural network
to recreate the measurement results produced by the equipment,
enabling it to estimate the optical signal transmission parameters.
Since systemic errors can arise in signal characteristics such as
laser frequency when an optically transmitted signal has been
received, if the received data is used for training as-is, the
neural network will be trained to specialize on erroneous states.
This could increase measurement errors in estimates. As a way to
counter this, the new technology virtually generates signals based
on optically transmitted signals in varying states, for example,
virtually generating multiple data with different laser
frequencies, and then combining these to form the training dataset.
In so doing, it becomes possible to reflect a variety of situations
in the training results, enabling this technology to minimize
measurement errors in estimates.
http://www.acnnewswire.com/topimg/Low_SummaryNewlyDevelopedTechnologyF2.jpg
Figure 2: Summary of the newly developed technology
Effects
Fujitsu Laboratories, Fujitsu Laboratories of America, and Fujitsu
R&D Center conducted a trial by building a simulated
transmission system that models an actual optical network. The
trial verified that with 10 thousand pieces of data this technology
was capable of estimating OSNR with a measurement error of 1%, and
the modulation format and symbol rate with a measurement error of
5%. Using this technology, it is expected that tasks that took an
expert using specialized measurement devices several days to
complete can now be estimated remotely in a matter of minutes.
Future Plans
Going forward, Fujitsu Laboratories, Fujitsu Laboratories of
America, and Fujitsu R&D Center will proceed with trials in an
actual network environment, with the goal of commercializing this
technology in fiscal 2019 or beyond. The companies will
additionally continue investigation aimed at automatic operation of
optical networks.
(1) Symbol rate
The speed at which amplitude and phase information can be switched
when modulating electrically transmitted data through light.
(2) Digital coherent receiver
A receiver that can handle optical signal phase information with
stability, which was an issue with previous coherent receivers, by
applying digital signal processing to the optical
communication.
About Fujitsu Laboratories
Founded in 1968 as a wholly owned subsidiary of Fujitsu Limited,
Fujitsu Laboratories Ltd. is one of the premier research centers in
the world. With a global network of laboratories in Japan, China,
the United States and Europe, the organization conducts a wide
range of basic and applied research in the areas of Next-generation
Services, Computer Servers, Networks, Electronic Devices and
Advanced Materials. For more information, please see:
http://www.fujitsu.com/jp/group/labs/en/.
About Fujitsu Ltd
Fujitsu is the leading Japanese information and communication
technology (ICT) company, offering a full range of technology
products, solutions, and services. Approximately 155,000 Fujitsu
people support customers in more than 100 countries. We use our
experience and the power of ICT to shape the future of society with
our customers. Fujitsu Limited (TSE:6702) reported consolidated
revenues of 4.5 trillion yen (US$40 billion) for the fiscal year
ended March 31, 2017. For more information, please see
http://www.fujitsu.com.
* Please see this press release, with images, at:
http://www.fujitsu.com/global/about/resources/news/press-releases/
Source: Fujitsu Ltd
Contact:
Fujitsu Laboratories Ltd.
E-mail: onw_dl@dl.jp.fujitsu.com
Fujitsu Limited
Public and Investor Relations
Tel: +81-3-6252-2176
URL: www.fujitsu.com/global/news/contacts/
Copyright 2018 JCN Newswire . All rights reserved.