# Matrix partitioning code family for spectral amplitude coding OCDMA

Matrix partitioning code family for spectral amplitude coding OCDMA This paper presents a family of newly constructed codes to mitigate the multiple access interference (MAI) and phase-induced intensity noise (PIIN) in spectral amplitude-coding optical code division multiple access systems. The family of newly constructed codes, named matrix portioning (MP) code, is derived from arithmetic sequence, and their cross-correlation is not larger than one. In addition, the weight code can be any number which makes an MP promising code for future optical communication systems. We have also described detailed examples on how to construct this code family. The results reveal that the MP code is effective in reducing the MAI and PIIN, while maintaining a good signal-to-noise ratio and low bit error probability. Simulation results taken from a commercial optical system simulator, Virtual Instrument Photonic $$(\hbox {VPI}^{\mathrm{TM}})$$ ( VPI TM ) , are also demonstrated. The results obtained for MP code have shown significant improvement compared to other schemes that employ flexible cross-correlation, multi diagonal, dynamic cyclic shift, and random diagonal codes. It is shown that, when the effective power is large, the intensity noise specifies as the main factor that deteriorates the system performance. When the effective power is not sufficiently large, thermal and shot noise sources become the main limiting factors and the effect of thermal noise is more influential than that of shot noise. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Photonic Network Communications Springer Journals

# Matrix partitioning code family for spectral amplitude coding OCDMA

, Volume 28 (1) – May 10, 2014
10 pages

/lp/springer_journal/matrix-partitioning-code-family-for-spectral-amplitude-coding-ocdma-08V6HR5Hbu
Publisher
Springer US
Subject
Computer Science; Computer Communication Networks; Electrical Engineering; Characterization and Evaluation of Materials
ISSN
1387-974X
eISSN
1572-8188
D.O.I.
10.1007/s11107-014-0439-1
Publisher site
See Article on Publisher Site

### Abstract

This paper presents a family of newly constructed codes to mitigate the multiple access interference (MAI) and phase-induced intensity noise (PIIN) in spectral amplitude-coding optical code division multiple access systems. The family of newly constructed codes, named matrix portioning (MP) code, is derived from arithmetic sequence, and their cross-correlation is not larger than one. In addition, the weight code can be any number which makes an MP promising code for future optical communication systems. We have also described detailed examples on how to construct this code family. The results reveal that the MP code is effective in reducing the MAI and PIIN, while maintaining a good signal-to-noise ratio and low bit error probability. Simulation results taken from a commercial optical system simulator, Virtual Instrument Photonic $$(\hbox {VPI}^{\mathrm{TM}})$$ ( VPI TM ) , are also demonstrated. The results obtained for MP code have shown significant improvement compared to other schemes that employ flexible cross-correlation, multi diagonal, dynamic cyclic shift, and random diagonal codes. It is shown that, when the effective power is large, the intensity noise specifies as the main factor that deteriorates the system performance. When the effective power is not sufficiently large, thermal and shot noise sources become the main limiting factors and the effect of thermal noise is more influential than that of shot noise.

### Journal

Photonic Network CommunicationsSpringer Journals

Published: May 10, 2014

### References

• A new code family suitable for high-rate SAC OCDMA PONs applications
Tseng, S-P

## You’re reading a free preview. Subscribe to read the entire article.

### DeepDyve is your personal research library

It’s your single place to instantly
that matters to you.

over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month ### Explore the DeepDyve Library ### Unlimited reading Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere. ### Stay up to date Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates. ### Organize your research It’s easy to organize your research with our built-in tools. ### Your journals are on DeepDyve Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more. All the latest content is available, no embargo periods. ### DeepDyve Freelancer ### DeepDyve Pro Price FREE$49/month

\$360/year
Save searches from