[HTML][HTML] Artificial intelligence (AI) methods in optical networks: A comprehensive survey

J Mata, I De Miguel, RJ Durán, N Merayo… - Optical switching and …, 2018 - Elsevier
Artificial intelligence (AI) is an extensive scientific discipline which enables computer
systems to solve problems by emulating complex biological processes such as learning …

Resource assignment based on dynamic fuzzy clustering in elastic optical networks with multi-core fibers

H Yang, Q Yao, A Yu, Y Lee… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Space-division multiplexing elastic optical networks (SDM-EONs) will play an important role
in addressing the increasing Internet traffic, thanks to their spectrum utilization flexibility and …

Transductive transfer learning-based spectrum optimization for resource reservation in seven-core elastic optical networks

Q Yao, H Yang, A Yu, J Zhang - Journal of Lightwave Technology, 2019 - opg.optica.org
In space-division multiplexing elastic optical networks (SDM-EONs), it is important to handle
the complex resource optimization (RO) problem due to the coexistence of the requests that …

Artificial intelligence in computer networks

TA Jaber - Periodicals of Engineering and Natural Sciences, 2022 - pen.ius.edu.ba
Artificial Intelligence (AI) has been defined as a modern and intense scientific topic that
enables computer-based systems or embedded systems to divide and solve problems by …

An efficient Sheep Flock Optimization-based hybrid deep RaNN for secure and enhanced video transmission quality

RB Benisha - Neural Computing and Applications, 2023 - Springer
Video communication gained wide popularity since it offers a more real-time mode of face-to-
face interaction. This paper mainly aims to enhance the video transmission quality of …

Dynamic network topology portrait for digital twin optical network

Y Wu, M Zhang, L Zhang, J Li, X Chen… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
Digital twin (DT) as one promising technology has been introduced in optical networks,
whose role is to achieve interactive functions and intelligent control by building a bridge …

Organic 6G networks: Graceful handling of infrastructure flexibility

M Corici, F Eichhorn, E Troudt… - 2022 IEEE Globecom …, 2022 - ieeexplore.ieee.org
This article proposes a new service architecture for 6G core networks enabling a graceful
runtime adaptation of the communication to the flexible infrastructures. Through …

Research on Dynamic Bandwidth Allocation Algorithm for Software Defined Network of Virtual Power Plant

X Bao, C Liu, S Liu, X Bu, Y Liu - Procedia Computer Science, 2022 - Elsevier
An adaptive dynamic bandwidth allocation algorithm based on Software Defined Network is
proposed to solve the problems of poor flexibility and low resource utilization in Virtual …

Towards DRL-based routing and spectrum assignment in optical networks: Lessons to be learned from Markov decision processes

RR Reyes, T Bauschert - 2021 IEEE Latin-American …, 2021 - ieeexplore.ieee.org
Monte Carlo and temporal-difference control, Q-Learning and Deep Reinforcement Learning
(DRL) are well-established methods to solve problems modelled as Markov Decision …

[PDF][PDF] 基于SDN 的配电网通信动态带宽分配算法

鲍兴川, 彭林 - 计算机应用与软件, 2018 - shcas.net
摘要针对配电网通信中存在的业务传输灵活性差, 资源利用率低等问题, 提出一种基于软件定义
网络的自适应动态带宽分配算法. 该算法对节点状态信息的收集与分析; 通过软件定义网络控制 …