Resource Allocation Based on Bandwidth Prediction in Software-defined Time and Wavelength Division Multiplexed Passive Optical Network

Yu XIONG; Yaya YANG; Zhenzhen ZHANG; Jing JIANG

doi:10.11999/JEIT180837

Volume 41 Issue 8

Aug. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(8): 1885-1892

Yu XIONG, Yaya YANG, Zhenzhen ZHANG, Jing JIANG. Resource Allocation Based on Bandwidth Prediction in Software-defined Time and Wavelength Division Multiplexed Passive Optical Network[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1885-1892. doi: 10.11999/JEIT180837

Citation:

Yu XIONG, Yaya YANG, Zhenzhen ZHANG, Jing JIANG. Resource Allocation Based on Bandwidth Prediction in Software-defined Time and Wavelength Division Multiplexed Passive Optical Network[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1885-1892. doi: 10.11999/JEIT180837

Citation:

Yu XIONG, Yaya YANG, Zhenzhen ZHANG, Jing JIANG. Resource Allocation Based on Bandwidth Prediction in Software-defined Time and Wavelength Division Multiplexed Passive Optical Network[J]. Journal of Electronics & Information Technology, 2019, 41(8): 1885-1892. doi: 10.11999/JEIT180837

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Resource Allocation Based on Bandwidth Prediction in Software-defined Time and Wavelength Division Multiplexed Passive Optical Network

doi: 10.11999/JEIT180837

Yu XIONG^{1, 2, 3
,
,},
Yaya YANG^{1, 2, 3},
Zhenzhen ZHANG^{1, 2, 3},
Jing JIANG^{1, 2, 3, 4}

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Key Laboratory of Optical Communication and Network in Chongqing, Chongqing 400065, China
3.
Key Laboratory of Ubiquitous Sensing and Networking in Chongqing, Chongqing 400065, China
4.
Maintenance Branch Company, State Grid Chongqing Electric Power Company, Chongqing 400039, China

Funds: The National Natural Science Foundation of China(61401052), The Project of the China Scholarship Council(201608500030), The Science and Technology Research Project of Chongqing Municipal Education Commission (KJ1400418, KJ1500445), The Doctoral Start-up Fund of Chongqing University of Posts and Telecommunications (A2015-09)

Received Date: 2018-08-27
Rev Recd Date: 2019-02-09

Available Online: 2019-02-25

Publish Date: 2019-08-01

Abstract

Abstract

Considering lacking of centralized and synergistic scheduling for time-slots and wavelength resources of the inter-TWDM-PONs, a novel Resource Allocation based on Bandwidth Prediction (RABP) strategy with software-defined centralized schedule is proposed. For intra-Optical Line Terminal (OLT), the BP neural network model based on Particle Swarm Optimization (PSO) algorithm is designed to predict the required bandwidth of each OLT in order to avoid the impact of delay between controller and OLT on real-time resource allocation. For inter-OLT, the slide cycle is dynamically set, and then the shared bandwidth of resource pool is counted in real-time according to the authorized information of optical network unit. In the process of wavelength scheduling, a wavelength scheduling mechanism with load balancing to achieve efficiently utilizing of wavelength resource is designed. The simulation results show that the proposed strategy not only effectively improves the utilization of channel resources, but also reducs the average packet delay.

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References(15)

References

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