On-demand routing, modulation level and spectrum allocation (OD-RMSA) for multicast service aggregation in elastic optical networks-Reference-Cited by-同舟云学术

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On-demand routing, modulation level and spectrum allocation (OD-RMSA) for multicast service aggregation in elastic optical networks

Published:2018-09-05 Issue:19 Volume:26 Page:24506
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Li Xin,Zhang Lu,Tang Ying,Gao Tao,Zhang Yongjun,Huang Shanguo

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China (NSFC)

National Science Foundation for Outstanding Youth Scholars of China

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference21 articles.

1. Joint Optimization of Resource Allocation for Elastic Optical Intra-Datacenter Network

2. Performance evaluation of multi-stratum resources integrated resilience for software defined inter-data center interconnect

3. Routing and Wavelength Assignment in a Satellite Optical Network Based on Ant Colony Optimization With the Small Window Strategy

4. Spectrum-efficient and scalable elastic optical path network: architecture, benefits, and enabling technologies

5. Orthogonal frequency division multiplexing for high-speed optical transmission

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1. Optimization of IoT circuit for flexible optical network system with high speed utilization;Optical and Quantum Electronics;2023-10-17

2. Coordinating Multiple Light-Trails in Multicast Elastic Optical Networks With Adaptive Modulation;IEEE Photonics Journal;2023-02

3. A simple but accurate technique for prediction of confinement and normalized group delay parameters for propagation of first higher order mode in graded index fiber;Journal of Optical Communications;2022-12-12

4. Cost-adaptive multi-class multicast service aggregation based on distributed sub-trees in elastic optical data center networks;Optical Fiber Technology;2021-10

5. Overview on routing and resource allocation based machine learning in optical networks;Optical Fiber Technology;2020-12

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