Enhanced 3-D OCDMA Code Family using Asymmetric Run Length Constraints

Samuel Nlend, Theo G. Swart

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


This paper suggests an enhanced performance of the 3-D optical code division multiple access (OCDMA) codes, a space/wavelength/time spreading family of codes. The initial codes are in the format wavelength hopping/time sequence (WH/TS), selected according to their performance requirements and the TS sequence is constructed to achieve a linear spacetime complexity. The asymmetric run length constraints are introduced in that regard, such that the positive bit positions align with the encoder/decoder frequency spacing pattern, yielding a 3-D WH/WS/TS. The selected 2-D OCDMA codes are one-coincidence frequency hopping codes (OCFHC) and optical orthogonal codes (OOC). As a time sequence code, the OOC code length is extended with a code rate of 0.04. The complexity and the bit error rate (BER) are herein given and compared with previous work. The results of the performance show not only an improvement in the number of simultaneous users due to the code length extension, but better correlation properties and hence a better signal-to-noise ratio.

Original languageEnglish
Title of host publicationIEEE AFRICON 2019
Subtitle of host publicationPowering Africa's Sustainable Energy for All Agenda: The Role of ICT and Engineering, AFRICON 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132891
Publication statusPublished - Sept 2019
Event2019 IEEE AFRICON, AFRICON 2019 - Accra, Ghana
Duration: 25 Sept 201927 Sept 2019

Publication series

NameIEEE AFRICON Conference
ISSN (Print)2153-0025
ISSN (Electronic)2153-0033


Conference2019 IEEE AFRICON, AFRICON 2019


  • Optical orthogonal code (OOC)
  • asymmetric run length constraints
  • difference of position (DoP)
  • neighbor difference
  • optical code division multiple access (OCDMA)

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering


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