Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks

Ruizhi Yang; Haiyuan Li; Yiran Teng; Sen Shen; Rui Wang; Romerson D Oliveira; Reza Nejabati; Shuangyi Yan; Dimitra Simeonidou

doi:10.1049/icp.2023.2677

Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks

Ruizhi Yang, Haiyuan Li, Yiran Teng, Sen Shen, Rui Wang, Romerson D Oliveira, Reza Nejabati, Shuangyi Yan, Dimitra Simeonidou

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

64 Downloads (Pure)

Abstract

An AI-engine-driven cross-domain orchestrator has been implemented on a multi-domain field trial testbed with demonstrations of deploying end-to-end services with a 20% improvement in BER performance, enabled by the developed flex-grid multi-channel QoT prediction, and rerouting network traffic jointly to avoid link failure within 800ms.

Original language	English
Title of host publication	49th European Conference on Optical Communications (ECOC 2023)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1726 - 1729
Number of pages	4
Volume	2023
Edition	34
ISBN (Electronic)	9781839539268
DOIs	https://doi.org/10.1049/icp.2023.2677
Publication status	Published - 28 Mar 2024
Event	49th European Conference on Optical Communications (ECOC 2023) - SEC, Glasgow, United Kingdom Duration: 1 Oct 2023 → 5 Oct 2023 Conference number: 49 https://ecoc2023.theiet.org/

Publication series

Name	European Conference on Optical Communication
Publisher	IEEE
ISSN (Print)	2688-2531
ISSN (Electronic)	2688-254X

Conference

Conference	49th European Conference on Optical Communications (ECOC 2023)
Abbreviated title	ECOC
Country/Territory	United Kingdom
City	Glasgow
Period	1/10/23 → 5/10/23
Internet address	https://ecoc2023.theiet.org/

Bibliographical note

Publisher Copyright:
© The Institution of Engineering & Technology 2023.

Research Groups and Themes

Smart Internet Lab

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10.1049/icp.2023.2677Licence: Unspecified

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Yang, R., Li, H., Teng, Y., Shen, S., Wang, R., Oliveira, R. D., Nejabati, R., Yan, S., & Simeonidou, D. (2024). Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks. In 49th European Conference on Optical Communications (ECOC 2023) (34 ed., Vol. 2023, pp. 1726 - 1729). (European Conference on Optical Communication). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1049/icp.2023.2677

Yang, Ruizhi ; Li, Haiyuan ; Teng, Yiran et al. / Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks. 49th European Conference on Optical Communications (ECOC 2023). Vol. 2023 34. ed. Institute of Electrical and Electronics Engineers (IEEE), 2024. pp. 1726 - 1729 (European Conference on Optical Communication).

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title = "Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks",

abstract = "An AI-engine-driven cross-domain orchestrator has been implemented on a multi-domain field trial testbed with demonstrations of deploying end-to-end services with a 20\% improvement in BER performance, enabled by the developed flex-grid multi-channel QoT prediction, and rerouting network traffic jointly to avoid link failure within 800ms.",

author = "Ruizhi Yang and Haiyuan Li and Yiran Teng and Sen Shen and Rui Wang and Oliveira, \{Romerson D\} and Reza Nejabati and Shuangyi Yan and Dimitra Simeonidou",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering \& Technology 2023.; 49th European Conference on Optical Communications (ECOC 2023), ECOC ; Conference date: 01-10-2023 Through 05-10-2023",

year = "2024",

month = mar,

day = "28",

doi = "10.1049/icp.2023.2677",

language = "English",

volume = "2023",

series = "European Conference on Optical Communication",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

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booktitle = "49th European Conference on Optical Communications (ECOC 2023)",

address = "United States",

edition = "34",

url = "https://ecoc2023.theiet.org/",

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Yang, R , Li, H , Teng, Y , Shen, S, Wang, R, Oliveira, RD, Nejabati, R, Yan, S & Simeonidou, D 2024, Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks. in 49th European Conference on Optical Communications (ECOC 2023). 34 edn, vol. 2023, European Conference on Optical Communication, Institute of Electrical and Electronics Engineers (IEEE), pp. 1726 - 1729, 49th European Conference on Optical Communications (ECOC 2023), Glasgow, United Kingdom, 1/10/23. https://doi.org/10.1049/icp.2023.2677

Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks. / Yang, Ruizhi ; Li, Haiyuan ; Teng, Yiran et al.
49th European Conference on Optical Communications (ECOC 2023). Vol. 2023 34. ed. Institute of Electrical and Electronics Engineers (IEEE), 2024. p. 1726 - 1729 (European Conference on Optical Communication).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks

AU - Yang, Ruizhi

AU - Li, Haiyuan

AU - Teng, Yiran

AU - Shen, Sen

AU - Wang, Rui

AU - Oliveira, Romerson D

AU - Nejabati, Reza

AU - Yan, Shuangyi

AU - Simeonidou, Dimitra

N1 - Conference code: 49

PY - 2024/3/28

Y1 - 2024/3/28

N2 - An AI-engine-driven cross-domain orchestrator has been implemented on a multi-domain field trial testbed with demonstrations of deploying end-to-end services with a 20% improvement in BER performance, enabled by the developed flex-grid multi-channel QoT prediction, and rerouting network traffic jointly to avoid link failure within 800ms.

AB - An AI-engine-driven cross-domain orchestrator has been implemented on a multi-domain field trial testbed with demonstrations of deploying end-to-end services with a 20% improvement in BER performance, enabled by the developed flex-grid multi-channel QoT prediction, and rerouting network traffic jointly to avoid link failure within 800ms.

UR - https://ecoc2023.theiet.org/

U2 - 10.1049/icp.2023.2677

DO - 10.1049/icp.2023.2677

M3 - Conference Contribution (Conference Proceeding)

VL - 2023

T3 - European Conference on Optical Communication

SP - 1726

EP - 1729

BT - 49th European Conference on Optical Communications (ECOC 2023)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 49th European Conference on Optical Communications (ECOC 2023)

Y2 - 1 October 2023 through 5 October 2023

ER -

Yang R , Li H , Teng Y , Shen S, Wang R, Oliveira RD et al. Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks. In 49th European Conference on Optical Communications (ECOC 2023). 34 ed. Vol. 2023. Institute of Electrical and Electronics Engineers (IEEE). 2024. p. 1726 - 1729. (European Conference on Optical Communication). doi: 10.1049/icp.2023.2677

Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks

Abstract

Publication series

Conference

Bibliographical note

Research Groups and Themes

Access to Document

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Other files and links

Fingerprint

8461 EPSRC via UCL EP/S028854/1 NDFF

Cite this

Field Trial Demonstration of AI-Engine Driven Cross-Domain Rerouting and Optimisation in Dynamic Optical Networks

Abstract

Publication series

Conference

Bibliographical note

Research Groups and Themes

Access to Document

Handle.net

Other files and links

Fingerprint

Projects

8461 EPSRC via UCL EP/S028854/1 NDFF

Cite this