Study on multiple-hops performance of MOOC sequences-based optical labels for OPS networks

Chongfu Zhang; Kun Qiu; Chunli Ma

doi:10.1117/12.849615

2 December 2009 Study on multiple-hops performance of MOOC sequences-based optical labels for OPS networks

Chongfu Zhang, Kun Qiu, Chunli Ma

Proceedings Volume 7632, Optical Transmission Systems, Switching, and Subsystems VII; 763231 (2009) https://doi.org/10.1117/12.849615
Event: Asia Communications and Photonics, 2009, Shanghai, Shanghai , China

Abstract

In this paper, we utilize a new study method that is under independent case of multiple optical orthogonal codes to derive the probability function of MOOCS-OPS networks, discuss the performance characteristics for a variety of parameters, and compare some characteristics of the system employed by single optical orthogonal code or multiple optical orthogonal codes sequences-based optical labels. The performance of the system is also calculated, and our results verify that the method is effective. Additionally it is found that performance of MOOCS-OPS networks would, negatively, be worsened, compared with single optical orthogonal code-based optical label for optical packet switching (SOOC-OPS); however, MOOCS-OPS networks can greatly enlarge the scalability of optical packet switching networks.

Citation Download Citation

Chongfu Zhang, Kun Qiu, and Chunli Ma "Study on multiple-hops performance of MOOC sequences-based optical labels for OPS networks", Proc. SPIE 7632, Optical Transmission Systems, Switching, and Subsystems VII, 763231 (2 December 2009); https://doi.org/10.1117/12.849615

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available