An Adaptive Guard Band Selection based on Convolutional Neural Network

Routing, Modulation Level and Spectrum Assignment (RMLSA) are some of the main problems studied in elastic optical networks. This work focuses on the study of guard band selection, with one or more free slots between the circuits, which are used in the solutions of the RMLSA problem in order to reduce the interference between adjacent circuits in the spectrum optical. In this context, a new approach, called ADVANCE, which uses a convolutional neural network to adaptive guard band selection is proposed. A proposal performance is compared to other adaptive proposals: AGBA, GBUN and UTOPIAN. The proposal achieves a reduction in the bandwidth blocking probability of at least 86.56% relative to AGBA, 84.60% relative to GBUN and 73.26% relative to UTOPIAN.

[1]  Dong Yu,et al.  Deep Learning: Methods and Applications , 2014, Found. Trends Signal Process..

[2]  Guigang Zhang,et al.  Deep Learning , 2016, Int. J. Semantic Comput..

[3]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[4]  Masahiko Jinno,et al.  Spectrum-efficient and scalable elastic optical path network: architecture, benefits, and enabling technologies , 2009, IEEE Communications Magazine.

[5]  Jawad A. Salehi,et al.  A Quality-of-Transmission Aware Dynamic Routing and Spectrum Assignment Scheme for Future Elastic Optical Networks , 2013, Journal of Lightwave Technology.

[6]  Henk Wymeersch,et al.  Link-Level Resource Allocation for Flexible-Grid Nonlinear Fiber-Optic Communication Systems , 2015, IEEE Photonics Technology Letters.

[7]  Shilin Xiao,et al.  Minimizing total blocking by setting optimal guard band in nonlinear Elastic Optical Networks , 2017, 2017 19th International Conference on Transparent Optical Networks (ICTON).

[8]  Chava Vijaya Saradhi,et al.  Physical layer impairment aware routing (PLIAR) in WDM optical networks: issues and challenges , 2009, IEEE Communications Surveys & Tutorials.

[9]  Lei Guo,et al.  Energy-Efficient Survivable Grooming in Software-Defined Elastic Optical Networks , 2017, IEEE Access.

[10]  Xiaomin Chen,et al.  Multipath routing in elastic optical networks with distance-adaptive modulation formats , 2013, 2013 IEEE International Conference on Communications (ICC).

[11]  David J. Ives,et al.  Physical layer transmitter and routing optimization to maximize the traffic throughput of a nonlinear optical mesh network , 2014, 2014 International Conference on Optical Network Design and Modeling.

[12]  Shouxiang Wang,et al.  A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network , 2019, Applied Energy.

[13]  K. P. Soman,et al.  Deep power: Deep learning architectures for power quality disturbances classification , 2017, 2017 International Conference on Technological Advancements in Power and Energy ( TAP Energy).

[14]  Yanbo Che,et al.  Power Quality Disturbance Classification Based on Compressed Sensing and Deep Convolution Neural Networks , 2019, IEEE Access.

[15]  Eiji Oki,et al.  Routing and Spectrum Allocation in Elastic Optical Networks: A Tutorial , 2015, IEEE Communications Surveys & Tutorials.

[16]  Henk Wymeersch,et al.  Nonlinear impairment aware resource allocation in elastic optical networks , 2015, 2015 Optical Fiber Communications Conference and Exhibition (OFC).

[17]  Regina Melo Silveira,et al.  Challenges and requirements of a control plane for elastic optical networks , 2014, Comput. Networks.

[18]  E. Agrell,et al.  Modeling of Nonlinear Signal Distortion in Fiber-Optic Networks , 2013, Journal of Lightwave Technology.

[19]  Guy Lapalme,et al.  A systematic analysis of performance measures for classification tasks , 2009, Inf. Process. Manag..

[20]  Biswanath Mukherjee,et al.  Spectrum management in heterogeneous bandwidth optical networks , 2014, Opt. Switch. Netw..

[21]  André Soares,et al.  An Efficient IA-RMLSA Algorithm for Transparent Elastic Optical Networks , 2017, Comput. Networks.

[22]  Konstantinos Christodoulopoulos,et al.  Elastic Bandwidth Allocation in Flexible OFDM-Based Optical Networks , 2010, Journal of Lightwave Technology.