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Space-Frequency Joint Contention Scheduling Algorithm based on AoD in SDM-EONs

DOI:10.1016/j.yofte.2018.11.005 期刊:Optical Fiber Technology 出版年份:2019 更新时间:2025-09-09 09:28:46
摘要: Compared with elastic optical networks, spectrum contention problem may become more serious in space-division multiplexing elastic optical networks. Spectrum converters (SCs) can effectively resolve the problem of spectrum contention without additional delays, but SCs have the disadvantages of complicated technologies and high costs. To resolve the two problems aforesaid, taking into account the alleviated spectrum continuity constraint caused by the space dimension and the node flexibility introduced by architecture on demand (AoD), a space-frequency joint contention scheduling algorithm (SFJSA) based on AoD is proposed in this paper. SFJSA divides the contention scheduling process into two phases: scheduling in space domain and in frequency domain. It gives priority to resolve contention in the spatial domain, and then considers using spectrum converters in spectrum domain. In the stage of space switching, a weight formula is designed to balance the costs of spectrum selective switches and the loads of cores. In the stage of spectrum conversion, a concept of spectrum compactness is introduced to further optimize the utilization of spectrum resources and spectrum converters. The simulation results indicate that the proposed algorithm can reduce the number of spectrum converters required while improving the blocking performance, which means it achieves better blocking performance in a more cost-effective manner.
作者: Huanlin Liu,Liying Sang,Yong Chen,Min Xiang,Yue Ma
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To resolve the spectrum contention problem in space-division multiplexing elastic optical networks (SDM-EONs) by proposing a space-frequency joint contention scheduling algorithm (SFJSA) based on architecture on demand (AoD), which aims to reduce the number of spectrum converters required while improving the blocking performance.

The proposed AoD-SFJSA scheme can achieve the best blocking performance and suboptimal costs. It comprehensively considers the performance of additional delays, costs, and bandwidth blocking probability (BBP), making it the most favorable method among all compared. The next step will further refine the study on reducing inter-core crosstalk (XT) in network-wide.

The study does not extensively consider the crosstalk between cores in MCF-enabled SDM-EONs, which affects the transmission and cannot be ignored. The next step will further refine the study on reducing XT in network-wide.

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