An access optimization approach for FFH-OCDMA system's fiber Bragg gratings encoder

Samuel Nlend, Theo G. Swart, Bhekisipho Twala

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

1 Citation (Scopus)


This paper suggests an adaptive 2-D Optical CDMA coding system based on one-coincidence frequency hopping (OCFH) code combined with an optical orthogonal code (OOC) in the format OCFH/OOC, suitable for the fast frequency hopping optical code division multiple access (FFH-OCDMA) channel, encoded by the Bragg gratings encoder with an aim to optimize the access network in terms of number of users and transmitted power. As wavelength hopping (WH) code, the OCFH code is herein adapted to the constraints of the encoder: the Bragg gratings chain put on the optical fiber. As the time spreading (TS) code, the code length bounds of the OOC and its new extended sequence derived from the introduction of run length constraints are given. The multiple access interference (MAI) of the resulting combined sequence is evaluated based on the number of coincidences and a performance comparison is made between the new congruence class of (9, 3,1)-OOC obtained and the previous well-known congruence class of (7, 3,1)-OOC.

Original languageEnglish
Title of host publication2017 IEEE AFRICON
Subtitle of host publicationScience, Technology and Innovation for Africa, AFRICON 2017
EditorsDarryn R. Cornish
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781538627754
Publication statusPublished - 3 Nov 2017
EventIEEE AFRICON 2017 - Cape Town, South Africa
Duration: 18 Sept 201720 Sept 2017

Publication series

Name2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017


ConferenceIEEE AFRICON 2017
Country/TerritorySouth Africa
CityCape Town


  • Bragg gratings
  • Multiaccess communication
  • One-coincidence frequency-hopping code
  • Spread spectrum communication

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications


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