研究目的
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.
研究成果
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.
研究不足
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.
1:Experimental Design and Method Selection:
The study proposes a space-frequency joint contention scheduling algorithm (SFJSA) based on AoD for SDM-EONs. The algorithm divides the contention scheduling process into two phases: scheduling in space domain and in frequency domain.
2:Sample Selection and Data Sources:
The simulation environment is established in Visual Studio, with the number of input/output ports N set as 4, each fiber having three cores, and each core including 400 FSs with granularity of 12.5 GHz.
3:5 GHz.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: The study involves spectrum selective switches (SSSs), spectrum converters (SCs), and architecture on demand (AoD) nodes.
4:Experimental Procedures and Operational Workflow:
The algorithm prioritizes resolving contention in the spatial domain using SSSs and then considers using SCs in the spectrum domain. A weight formula is designed for space switching, and a concept of spectrum compactness is introduced for spectrum conversion.
5:Data Analysis Methods:
The performance is evaluated in terms of bandwidth blocking probability, the number of required SCs, and the number of used SSSs.
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