Abstract
An SDN based network planning framework utilizing machine-learning techniques and a network-scale monitoring database is implemented over an optical field-trial testbed comprised of 436.4km fibre. Adaption of the spectral efficiency utilising probabilistic-shaping BVT based on link performance prediction is demonstrated.
Original language | English |
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Title of host publication | 43rd European Conference on Optical Communication, ECOC 2017 |
Publisher | IEEE |
Pages | 1-3 |
Number of pages | 3 |
Volume | 2017-September |
ISBN (Electronic) | 9781538656242 |
DOIs | |
Publication status | Published - 21 Sept 2017 |
Event | 43rd European Conference on Optical Communication, ECOC 2017 - Gothenburg, Sweden Duration: 17 Sept 2017 → 21 Sept 2017 |
Conference
Conference | 43rd European Conference on Optical Communication, ECOC 2017 |
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Country/Territory | Sweden |
City | Gothenburg |
Period | 17/09/17 → 21/09/17 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials