A Research on Routing and Spectrum Allocation Algorithm for Elastic Optical Networks Based on Deep Learning

Authors

  • Lina Cheng

DOI:

https://doi.org/10.54097/fbem.v2i3.182

Keywords:

Elastic optical network, Deep learning, Route Spectrum allocation

Abstract

Dynamic allocation request and spectrum release will lead to spectrum fragmentation, which will affect the allocation of subsequent services and spectrum resource utilization of elastic optical network. This paper proposes a new routing and spectrum allocation algorithm based on deep learning, which will find the best routing and spectrum allocation method for a specific network, so as to improve the overall network performance. Simulation results show that compared with the traditional resource allocation strategy, the neural network model used in this paper can improve the degree of spectrum fragmentation and reduce the network blocking probability.

Downloads

Download data is not yet available.

References

Zuqing Zhu, Wei Lu, Liang Zhang, Ansari N. Dynamic service provisioning in elastic optical networks with hybrid single-/multi-path routing[J]. Lightwave Technology, IEEE, 2012, 31(1): 15-22.

C. F. Hsu,Y.C. Chang, and S. C. Sie, “Graph-model-based dynamic routing and spectrum assignment in elastic optical networks”, IEEE/OSA Journal of Optical Communications and Networking, Vol. 8, No. 7, pp. 507-520, 2016.

Yu E S, Chen C Y R. Traffic prediction using neural networks[C]. Proceedings of GLOBECOM '93. IEEE Global Telecommunications Conference. IEEE, 1993: 991-995.

Liu X, Gong L, Zhu Z. Design integrated RSA for multicast in elastic optical networks with a layered approach[C]// Global Communications Conference. IEEE, 2014:2346-2351

X. Liu, L. Gong, and Z. Zhu, “Design integrated RSA for multicast in elastic optical networks with a layered approach”,IEEE Global Communications Conference (GLOBECOM), pp. 2346–2351, 2013.

Chen D, Feng Hai-liang, Lin Qing-jia, Chen Chun-xiao. Multi-scale Internet Traffic Prediction Using Wavelet Neural Network Combined Model [C]. International Conference on Communications and Networking in China, IEEE, 2006: 1-5.

Xiaoliang Chen, Jiannan Guo, Zuqing Zhu, et. “Deep-RMSA: A Deep-Reinforcement-Learning Routing, Modulation and Spectrum Assignment Agent for Elastic Optical Networks,” OFC 2018 © OSA 2018.

Kingma D P, Ba J. “Adam: A Method for Stochastic Optimization,” Computer Science, 2014.

Downloads

Published

30 November 2021

How to Cite

Cheng, L. (2021). A Research on Routing and Spectrum Allocation Algorithm for Elastic Optical Networks Based on Deep Learning. Frontiers in Business, Economics and Management, 2(3), 24–26. https://doi.org/10.54097/fbem.v2i3.182

Issue

Section

Articles