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Solving Routing and Spectrum Allocation Related Optimization Problems: From Off-Line to In-Operation Flexgrid Network Planning

机译:解决路由和频谱分配相关的优化问题:从离线到运营中的Flexgrid网络规划

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Compared to wavelength switched optical networks (WSON), flexgrid optical networks provide higher spectrum efficiency and flexibility. To properly analyze, design, plan, and operate flexgrid networks, the routing and spectrum allocation (RSA) problem must be solved. The RSA problem involves two different constraints: the continuity constraint to ensure that the allocated spectral resources are the same along the links in the route and the contiguity constraint to guarantee that those resources are contiguous in the spectrum. As a consequence of its complexity, it is crucial that efficient methods are available to allow solving realistic problem instances in practical times. In this paper, we review different RSA-related optimization problems that arise within the life-cycle of flexgrid networks. Different methods to solve those optimization problems are reviewed along with the different requirements related to where those problems appear. Starting from its formulation, we analyze network life-cycle and indicate different solving methods for the kind of problems that arise at each network phase: from off-line to in-operation network planning. We tackle two representative use cases: i) a use case for off-line planning where a flexgrid network is designed and periodically upgraded, and ii) multilayer restoration as a use case for in-operation planning. Three solving methods are proposed for the off-line planning problem: mathematical programming, column generation and metaheuristics, whereas, as a result of its stringent required solving times, two heuristic methods are presented for the on-line problem.
机译:与波长交换光网络(WSON)相比,柔性网格光网络可提供更高的频谱效率和灵活性。为了正确地分析,设计,规划和运行弹性网格网络,必须解决路由和频谱分配(RSA)问题。 RSA问题涉及两个不同的约束条件:连续性约束条件和连续性约束条件,以确保所分配的频谱资源在路由中的各个链路上相同,而连续性约束条件可确保那些资源在频谱中是连续的。由于其复杂性,至关重要的是,必须有有效的方法来允许在实际时间内解决实际的问题实例。在本文中,我们回顾了在Flexgrid网络生命周期内出现的与RSA相关的不同优化问题。审查了解决这些优化问题的不同方法,以及与这些问题出现的位置有关的不同要求。从其制定开始,我们将分析网络生命周期,并针对每个网络阶段出现的问题指出不同的解决方法:从离线到运行中的网络规划。我们处理两个有代表性的用例:i)用于设计并定期升级flexgrid网络的离线计划用例,以及ii)多层恢复作为运营中计划的用例。针对离线计划问题,提出了三种求解方法:数学编程,列生成和元启发式算法,而由于其要求的严格求解时间,因此针对在线问题提出了两种启发式方法。

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