Bayvel, P;
Luo, R;
Matzner, R;
Semrau, D;
Zervas, G;
(2021)
Intelligent design of optical networks: which topology features help maximise throughput in the nonlinear regime?
In:
2020 European Conference on Optical Communications, ECOC 2020.
IEEE: Brussels, Belgium.
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Abstract
The overarching goal in intelligent network design is to deliver capacity when and where it is needed. The key to this is to understand which network topology characteristics impact the achievable network throughput. This is explored through the use of a new generative network model, taking into account physical layer network characteristics.
Type: | Proceedings paper |
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Title: | Intelligent design of optical networks: which topology features help maximise throughput in the nonlinear regime? |
Event: | 2020 European Conference on Optical Communications, ECOC 2020 |
Location: | ELECTR NETWORK |
Dates: | 6 Dec 2020 - 10 Dec 2020 |
ISBN-13: | 9781728173610 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/ECOC48923.2020.9333263 |
Publisher version: | http://doi.org/10.1109/ECOC48923.2020.9333263 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Intelligent networks, Network topology, Europe, Optical fiber networks, Throughput, Physical layer, Topology |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10170772 |




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