光段:SDM-EON中具有串扰和调制感知的频谱分割

Yue Wang, V. Vokkarane
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引用次数: 2

摘要

由于现代网络流量的带宽密集、异构化和不断发展,在现有技术下,网络资源的枯竭是可以预见的。为了向下一代网络用户提供高质量的网络服务,必须依靠新兴的网络技术。弹性光网络(EON)和空分复用(SDM)是解决未来网络需求挑战的两种首选的新兴光网络架构。然而,EON引入的频谱邻接约束可能导致严重的碎片化。切片能力是一种有效的分配框架,可以通过将光路划分为一组子光路来缓解频谱碎片,其中每个子光路在原始请求的整个持续时间内由原始光路带宽的一小部分组成。可选择性通常用于解决EON中的路由、调制和频谱分配(RMSA)问题。在本文中,我们提出了一个串扰和调制感知的SDM可切片框架,用于解决SDM- eon中的路由、调制、核心和频谱分配(RMCSA)问题。我们将每个子光路称为紧段。SDM切片能力框架与文献中所有的核心和频谱分配(CSA)算法兼容。我们使用三种现有的CSA算法:First-Fit, Largest-First和Best-Fit来评估基于光段的RMCSA算法。基于广泛的性能评估,我们观察到与没有SDM切片能力的传统方法相比,具有SDM切片能力的RMCSA算法有显着改善。
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Light-segment: Crosstalk-and Modulation-Aware Spectrum Allocation with Segmentation in SDM-EON
Due to the modern bandwidth-intensive, ever heterogeneous, and evolving network traffic, exhaustion of network resources under current technologies is foreseeable. In order to provision high quality network services for the next-generation network users, emerging network technologies must be relied on. Elastic optical networks (EON) and space division multiplexing (SDM) are the two preferred emerging optical network architectures to solve the future challenge of network demands. However, the spectrum contiguity constraint introduced by EON may lead to significant fragmentation. Slice-ability is an effective allocation framework that can mitigate spectrum fragmentation by dividing the lightpath into a set of sub-lightpaths, where each sub-lightpath consists of a fraction of the original lightpath bandwidth for the entire duration of the original request. Sliceability is conventionally used to solve routing, modulation, and spectrum assignment (RMSA) problems in EON. In this paper, we propose SDM sliceable framework that is crosstalk-and modulation-aware for solving the routing, modulation, core, and spectrum assignment (RMCSA) problems in SDM-EON. We refer each sub-lightpath as tight-segment. SDM slice-ability framework is compatible with all core and spectrum assignment (CSA) algorithms in literature. We evaluate light-segment based RMCSA algorithms using three existing CSA algorithms: First-Fit, Largest-First, and Best-Fit. Based on extensive performance evaluations, we observe significant improvement of RMCSA algorithms with SDM slice-ability compared to conventional approaches without SDM slice-ability.
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