An effective solution to the looming capacity crunch is to use a fine-grained flexible
frequency grid for elastic optical transmission and space division multiplexing (SDM) in …

Machine learning has been introduced to estimate the quality of transmission (QoT) of
lightpaths to meet the reliability of optical network transmission. In the early deployment …

The rapid increase in bandwidth-driven applications has resulted in exponential internet
traffic growth, especially in the backbone networks. To address this growth of internet traffic …

网络的规模升级和超大连接, 超高带宽, 超低时延应用的不断深化, 对光传输网络资源利用和网络
差异化服务提出了更高要求, 使得传统模型驱动下的网络形态和配置方式面临挑战 …

The quality of transmission (QoT) estimation of lightpaths (LPs) has both technological and
economic significance from the operator's perspective. Typically, the network administrator …

We propose a meta learning based QoT estimation method to estimate the quality of
transmission of lightpaths with few samples. The simulation results demonstrate that the …

Missing data in time series is a pervasive problem that puts obstacles in the way of
advanced analysis. A popular solution is imputation, where the fundamental challenge is to …

Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Predictive
Uncertainty Aware Active Learning for Regression-based QoT Estimation in Optical …