DFT Precoded OFDM - an Alternative Candidate for Next Generation PONs - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Lightwave Technology Année : 2014

DFT Precoded OFDM - an Alternative Candidate for Next Generation PONs

Résumé

Recently, the Orthogonal Frequency Division Multiplexing (OFDM) technique has been extensively studied for fiber-based optical transmissions in the context of access networks. The Adaptive Modulation Optical (AMO) OFDM system has been proved to be one of the cost-effective solutions. Among adaptive modulation techniques, the Levin-Campello (LC) bit/power loading, which is widely implemented for xDSL systems, is shown to bring excellent performances in unamplified optical Intensity Modulated/Direct Detected (IMDD) transmissions. In this paper a novel adaptive Discrete Fourier Transform (DFT) Precoded OFDM (POFDM) is proposed and investigated. By means of numerical simulation, the proposed modulation scheme is shown to reduce the Peak-to-Average Power Ratio (PAPR) of the transmitted OFDM signal up to 2 dB at 10^-3 clipping rate. As a consequence, a smaller input back-off (IBO) can be applied to the laser-driving current before the power amplifier, resulting in a lower power consumption of the POFDM system when compared to the conventional LC AMOOFDM system. According to simulation results, the energy consumption of the power amplifier is reduced by a factor of two in unamplified optical IMDD transmissions. Moreover, in terms of capacity-versus-reach performance, the proposed system achieves the same performance as the conventional adaptive modulation scheme.
Fichier non déposé

Dates et versions

hal-01061713 , version 1 (08-09-2014)

Identifiants

Citer

Tuan-Anh Truong, Matthieu Arzel, Lin Hao, Bruno Jahan, Michel Jezequel. DFT Precoded OFDM - an Alternative Candidate for Next Generation PONs. Journal of Lightwave Technology, 2014, 32 (6), pp.1228 - 1238. ⟨10.1109/JLT.2014.2301632⟩. ⟨hal-01061713⟩
321 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More