Performance analysis of precoded layered ACO-OFDM for visible light communication systems - Université Grenoble Alpes Accéder directement au contenu
Article Dans Une Revue Optics Communications Année : 2019

Performance analysis of precoded layered ACO-OFDM for visible light communication systems

Résumé

Optical-orthogonal frequency division multiplexing (O-OFDM) is regarded as an effective scheme for intensity modulation and direct detection (IM-DD) based visible light communication (VLC) systems. State-of-the-art O-OFDM approaches complying with IM-DD constraints are; direct-current (DC) biased O-OFDM (DCO-OFDM) and asymmetrically clipped (AC)O-OFDM. ACO-OFDM has half the spectral efficiency (SE) of DCO-OFDM, howbeit, its SE can be augmented towards that of DCO-OFDM using layered ACO-OFDM (LACO-OFDM). Nevertheless, LACO-OFDM suffers from a high peak-to-average power ratio (PAPR). Forthright extension of PAPR reduction techniques devised for ACO-OFDM to LACO-OFDM can be unwieldy and complex. Hence, precoding can be an alternative to counterbalance the high PAPR without a considerable increase in complexity. As our contribution, we comprehensively investigate the performances of Fourier transform (FT) and Hartley transform (HT) precoding on LACO-OFDM. The bit error rate (BER) is analyzed in additive white Gaussian noise (AWGN) and time dispersive channels. Furthermore, the impact of superimposition of layers, PAPR, electrical-to-optical power conversion efficiency and system complexities are also investigated.
Fichier principal
Vignette du fichier
S0030401819301002.pdf (611.17 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02020424 , version 1 (22-10-2021)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Ali Waqar Azim, Yannis Le Guennec, Ghislaine Maury. Performance analysis of precoded layered ACO-OFDM for visible light communication systems. Optics Communications, 2019, 440, pp.49-60. ⟨10.1016/j.optcom.2019.02.008⟩. ⟨hal-02020424⟩
117 Consultations
58 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More