Label Reuse Scheme in MPLS Networks based on Optical CDMA

Chao Chin Yang, Jen Fa Huang, En Sheng Cheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In a multi-protocol label switching (MPLS) network based on optical code division multiplexing (OCDM), each core switching node is assign with one code sequence with N chips for each specific input/ output pair. However, there is a scalability problem that the more the number of core nodes exists, the more code sequences are needed. To solve this problem, here we consider a situation that can reuse label in order to save the number of utilized labels. In this paper, we compare the relationship of the number of utilized labels and supported LSPs (label switching paths) in both situations with and without reusing labels. We also discuss the issue of cost efficiency and bandwidth efficiency. Further, the discussion of BER performance is also included.

Original languageEnglish
Title of host publicationProceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019
EditorsShoou-Jinn Chang, Sheng-Joue Young, Artde Donald Kin-Tak Lam, Liang-Wen Ji, Hao-Ying Lu, Stephen D. Prior
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages126-131
Number of pages6
ISBN (Electronic)9781728158396
DOIs
Publication statusPublished - 2019 Oct
Event8th International Conference on Innovation, Communication and Engineering, ICICE 2019 - Zhengzhou, Henan Province, China
Duration: 2019 Oct 252019 Oct 30

Publication series

NameProceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019

Conference

Conference8th International Conference on Innovation, Communication and Engineering, ICICE 2019
CountryChina
CityZhengzhou, Henan Province
Period19-10-2519-10-30

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Modelling and Simulation
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management

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