This paper demonstrates the field-trial validation for a novel machine learning-assisted lightpath abstraction strategy in multi-domain optical network scenarios. The proposed abstraction framework shows high accuracy for dynamic optical networks with 0.44 dB estimation error.
|Title of host publication||2020 The Optical Networking and Communication Conference & Exhibition, OFC 2020|
|Publisher||Optical Society of America (OSA)|
|Publication status||Accepted/In press - 11 Dec 2019|
|Event||The Optical Networking and Communication Conference & Exhibition - San Diego, United States|
Duration: 8 Mar 2020 → 12 Mar 2020
|Conference||The Optical Networking and Communication Conference & Exhibition|
|Abbreviated title||OFC 2020|
|Period||8/03/20 → 12/03/20|
Wang, R., Chen, X., Gao, Z., Yan, S., Nejabati, R., & Simeonidou, D. (Accepted/In press). Hybrid Learning Assisted Abstraction for Service Performance Assessment Over Multi-Domain Optical Networks. In 2020 The Optical Networking and Communication Conference & Exhibition, OFC 2020 Optical Society of America (OSA).