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Volume 42 Issue 7
Jul.  2020
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Huanlin LIU, Lixiang DU, Yong CHEN, Huixia HU. Crosstalk-aware Spectrum Converters Sparse Configuration and Resource Allocation for Space Division Multiplexing Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1718-1725. doi: 10.11999/JEIT190533
Citation: Huanlin LIU, Lixiang DU, Yong CHEN, Huixia HU. Crosstalk-aware Spectrum Converters Sparse Configuration and Resource Allocation for Space Division Multiplexing Elastic Optical Networks[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1718-1725. doi: 10.11999/JEIT190533

Crosstalk-aware Spectrum Converters Sparse Configuration and Resource Allocation for Space Division Multiplexing Elastic Optical Networks

doi: 10.11999/JEIT190533
Funds:  The National Natural Science Foundation of China(51977021), The Science Foundation Project of Chongqing Science and Technology Commission (2019 jcyj-msxmX0613)
  • Received Date: 2019-07-15
  • Rev Recd Date: 2019-11-07
  • Available Online: 2020-03-17
  • Publish Date: 2020-07-23
  • In order to solve the problem of inter-core crosstalk in Space Division Multiplexing Elastic Optical Network (SDM-EON), which leads to the decline of service transmission quality and the increase of blocking probability, a routing, fiber core and spectrum allocation method for reducing inter-core crosstalk through sparse configuration spectrum converter at nodes is proposed in the paper. This method configures the spectrum converter according to the node’s centrality sparseness in SDM-EON. During service routing, a weighting method for optical path selection considering both optical path load and node spectrum conversion capability is designed.to reduce crosstalk. In the core spectrum allocation stage, a method of fiber core grouping and spectrum partition allocation is utilized. Finally, spectrum conversion is used to reduce traffic crosstalk and improve bandwidth blocking probability for services with high crosstalk. The simulation results show that the proposed algorithm can effectively improve the spectrum utilization and reduce the bandwidth blocking probability caused by fibers inter-core crosstalk.

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