OCDMA Code Design for BER and Data Rate Differentiation in Beat Noise Corrupted Systems - Université de Limoges Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

OCDMA Code Design for BER and Data Rate Differentiation in Beat Noise Corrupted Systems

Stéphanie Sahuguede
Anne Julien-Vergonjanne
Jean-Pierre Cances
  • Fonction : Auteur
  • PersonId : 915626

Résumé

Using incoherent Optical Code Division Multiple Access (OCDMA) technique has recently attracted much interest since it appears to be not only a simple solution to provide user differentiation but also to perform service differentiation. The main limitation usually taken into account in the theoretical performance evaluation is Multiple Access Interference (MAI) linked to the fact that code sequences are unipolar and thus not strictly orthogonal. However, due to MAI and to the fact that the nature of the optical regime is not perfectly incoherent, beat noise constitutes another important limitation. We focus in this paper on multi-weight two dimensional (2-D) code sequences, which permits providing different BER services. We propose a theoretical statistical model to characterize MAI and beat noise impact. Thanks to this model, a theoretical error probability expression is established, taking into account both MAI and beat noise contribution in multimedia OCDMA systems. The design of multimedia codes satisfying targeted BERs can thus be done considering both limitations. The results permit highlighting the importance of beat noise consideration in the design process and the constraints imposed on optical source requirements.
Fichier non déposé

Dates et versions

hal-00631537 , version 1 (12-10-2011)

Identifiants

Citer

Stéphanie Sahuguede, Anne Julien-Vergonjanne, Jean-Pierre Cances. OCDMA Code Design for BER and Data Rate Differentiation in Beat Noise Corrupted Systems. GLOBECOM 2010, 2010 IEEE Global Telecommunications Conference, Dec 2010, Miami - Floride, United States. pp.1-5, ⟨10.1109/GLOCOM.2010.5684047⟩. ⟨hal-00631537⟩

Collections

UNILIM CNRS XLIM
64 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More