Paper
24 October 2017 Research on performance of three-layer MG-OXC system based on MLAG and OCDM
Yubao Wang, Yanfei Ren, Ying Meng, Jian Bai
Author Affiliations +
Proceedings Volume 10464, AOPC 2017: Fiber Optic Sensing and Optical Communications; 104640A (2017) https://doi.org/10.1117/12.2283348
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
Abstract
At present, as traffic volume which optical transport networks convey and species of traffic grooming methods increase rapidly, optical switching techniques are faced with a series of issues, such as more requests for the number of wavelengths and complicated structure management and implementation. This work introduces optical code switching based on wavelength switching, constructs the three layers multi-granularity optical cross connection (MG-OXC) system on the basis of optical code division multiplexing (OCDM) and presents a new traffic grooming algorithm. The proposed architecture can improve the flexibility of traffic grooming, reduce the amount of used wavelengths and save the number of consumed ports, hence, it can simplify routing device and enhance the performance of the system significantly. Through analyzing the network model of switching structure on multicast layered auxiliary graph (MLAG) and the establishment of traffic grooming links, and the simulation of blocking probability and throughput, this paper shows the excellent performance of this mentioned architecture.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yubao Wang, Yanfei Ren, Ying Meng, and Jian Bai "Research on performance of three-layer MG-OXC system based on MLAG and OCDM", Proc. SPIE 10464, AOPC 2017: Fiber Optic Sensing and Optical Communications, 104640A (24 October 2017); https://doi.org/10.1117/12.2283348
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Code division multiplexing

Probability theory

Back to Top