Self-homodyne spatial super-channel based spectrum and core assignment in spatial division multiplexing optical networks

Abstract

Space Division Multiplexing (SDM) has been introduced as a promising technique to improve the capacity of optical transport networks. In SDM optical networks, Multi-Core Fiber (MCF) is taken as the infrastructure, and the spectrum resources of one MCF are distributed in multiple cores. According to such features, self-homodyne spatial super-channel has been introduced to support setting up super-channels across multiple cores in one MCF, and it relaxes the contiguous constraint in traditional Elastic Optical Networks (EON). Based on self-homodyne spatial super-channel, this paper focuses on the problem of Spectrum and Core Assignment (SCA) in SDM networks. We set up a self-homodyne spatial super-channel based resource model, including several types of MCF with certain inter-core crosstalk. Accordingly, we proposed a Self-homodyne Spatial Super-channel based Spectrum and Core Assignment scheme. Simulation results show that the proposed scheme can improve the spectrum consumption ratio and reduce blocking probability significantly.