TY - BOOK
T1 - Summary: Workshop on Machine Learning for Optical Communication Systems
AU - Gordon, Josh
AU - Battou, Abdella
AU - Majurski, Michael
AU - Kilper, Dan
AU - Moura, Uiara Celine de
AU - Zibar, Darko
AU - Tornatore, Massimo
AU - Pedro, Joao
AU - Simsarian, Jesse
AU - Westdorp, Jim
PY - 2020
Y1 - 2020
N2 - Optical communication systems are expected to find use in new applications that require more intelligent and automated functionality. Optical networks are needed to address the high speeds and low latency of 5G wireless networks. The analog nature of optical transmission and the complexity of operation and management remain an impediment to greater use of software controls. The optical community at large has proposed many possible applications and avenues for using and implementing artificial intelligence and machine learning to improve functionality of optical systems for communications. However, broad agreement has yet to be reached due to both technical and non-technical reasons. On August 2nd , 2019 The National Institute of Standards and Technology (NIST) Communications Technology Laboratory (CTL) hosted a Workshop on Machine Learning for Optical Communication Systems to bring together industry, academia and government in order to discuss the roll of AI and ML in optical communication systems. This document provides an overview and summary of the workshop.
AB - Optical communication systems are expected to find use in new applications that require more intelligent and automated functionality. Optical networks are needed to address the high speeds and low latency of 5G wireless networks. The analog nature of optical transmission and the complexity of operation and management remain an impediment to greater use of software controls. The optical community at large has proposed many possible applications and avenues for using and implementing artificial intelligence and machine learning to improve functionality of optical systems for communications. However, broad agreement has yet to be reached due to both technical and non-technical reasons. On August 2nd , 2019 The National Institute of Standards and Technology (NIST) Communications Technology Laboratory (CTL) hosted a Workshop on Machine Learning for Optical Communication Systems to bring together industry, academia and government in order to discuss the roll of AI and ML in optical communication systems. This document provides an overview and summary of the workshop.
KW - Artificial Intelligence
KW - Disaggregation
KW - Machine Learning
KW - Network Defragmentation Open Line
KW - Optical Networks
KW - Quality of Transmission (QoT)
KW - Reconfigurable Optical Add Drop Multiplexer (ROADM)
KW - Software Defined Networks (SDN)
KW - Transponder
U2 - 10.6028/NIST.SP.2100-04
DO - 10.6028/NIST.SP.2100-04
M3 - Book
T3 - NIST Special Publication
BT - Summary: Workshop on Machine Learning for Optical Communication Systems
PB - National Institute of Standards and Technology
T2 - Workshop on Machine Learning for Optical Communication Systems
Y2 - 2 August 2019 through 2 August 2019
ER -