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Solving the Static Resource-Allocation Problem in SDM-EONs via a Node-Type ILP Model.

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Summary
This summary is machine-generated.

This study introduces an integer linear programming model for resource allocation in space division multiplexing elastic optical networks (SDM-EONs). Two proposed algorithms effectively solve routing, modulation, and spectrum assignment problems in smaller network instances.

Keywords:
ILP modelSDM-EONsresource allocationspace lane changestatic planning problem

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Area of Science:

  • Optical Networking
  • Telecommunications Engineering
  • Computer Science

Background:

  • Space Division Multiplexing Elastic Optical Networks (SDM-EONs) are crucial for meeting escalating internet traffic demands.
  • SDM-EONs present complex resource allocation challenges due to finer spectrum granularity and additional dimensions (modulation formats, spatial).

Purpose of the Study:

  • To develop a precise model for the Routing, Modulation format, Space, and Spectrum Assignment (RMSSA) problem in SDM-EONs.
  • To devise efficient algorithms for solving the complex RMSSA problem.

Main Methods:

  • Formulation of an Integer Linear Programming (ILP) model for RMSSA without Space Lane Change (SLC).
  • Development of three exact algorithms based on model decomposition to solve the ILP model.
  • Performance evaluation through simulation experiments.

Main Results:

  • The proposed ILP model offers theoretically exact solutions for RMSSA.
  • Two of the developed exact algorithms demonstrate effectiveness in solving the model for small-scale network instances.
  • The study highlights the complexity of resource allocation in SDM-EONs.

Conclusions:

  • The ILP model provides a foundational approach for RMSSA in SDM-EONs.
  • The decomposition-based algorithms offer practical solutions for specific network sizes.
  • Further research may explore scalability and optimization for larger networks.