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Priority-Based Inter-Core and Inter-Mode Crosstalk-Avoided Resource Allocation for Spectrally-Spatially Elastic Optical Networks

机译:基于优先级的核心间和模式串扰 - 避免用于频谱空间弹性光网络的资源分配

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Spectrally-spatially elastic optical networks (SS-EONs) have been considered nowadays to overcome the physical barrier and enhance the transport capacity, where enhancing spectrum utilization while satisfying inter-core and inter-mode crosstalks is always challenging. This paper proposes a priority-based crosstalk-avoided core, mode and spectrum allocation scheme in SS-EONs, which enhances resource utilization while satisfying both constraints of inter-core crosstalk and inter-mode crosstalk. The proposed scheme creates different groups of cores and modes and assigns a priority to each of them. Core and mode are selected for serving lightpath requests based on their priority order. We define an optimization problem for routing, modulation assignment, spectrum, core, and mode allocation (RA-SCMA) in SS-EONs considering both constraints of inter-core crosstalk and inter-mode crosstalk simultaneously. The optimization problem is formulated as an integer linear programming problem. We prove that the decision version of RA-SCMA is NP-complete. We present crosstalk-avoided core-mode-spectrum allocation considering a dynamic scenario. Numerical results indicate that the proposed scheme reduces the blocking probability in SS-EONs and allows up to 40% increased traffic loads by utilizing the crosstalk-avoided unutilized slots compared to the conventional scheme that adopts a core-mode-spectrum first fit policy.
机译:现在已经考虑了光谱 - 空间弹性光网络(SS-EONS)以克服物理屏障并增强运输能力,其中增强频谱利用率,同时满足核心间和模式串扰总是具有挑战性的。本文提出了基于优先级的串扰 - 避免了SS-EONS的核心,模式和频谱分配方案,其增强了资源利用,同时满足核心间串扰和模式间串扰的两个约束。该方案创建了不同的核心和模式组,并为每个核心分配优先级。选择核心和模式用于根据其优先顺序服务于LighPath请求。考虑到同时核心串扰和模式间串扰的SS-EON中的路由,调制分配,频谱,核心和模式分配(RA-SCMA)定义了用于路由,调制分配,频谱,核心和模式分配(RA-SCMA)的优化问题。优化问题被制定为整数线性编程问题。我们证明了RA-SCMA的决策版本是NP-Complete。考虑到动态方案,我们呈现串扰 - 避免核心模式频谱分配。数值结果表明,所提出的方案降低了SS-EONS中的阻塞概率,并通过利用串扰 - 避免的未光栅插槽来允许高达40%的流量负载,与采用核心模式频谱首先适合策略的传统方案相比。

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