29 May 2020 Performance assessment of dual-polarized 5G waveforms and beyond in directly modulated DFB-laser using Volterra equalizer
Oussama Gharbi, Sofien Mhatli, Iyad Dayoub, Shyqyri Haxha, Rabah Attia, Adel Aldalbahi, Mohammed Jasim
Author Affiliations +
Funded by: National Project “Programme jeune chercheur”
Abstract

We investigate the performance of 25-Gbps dual-polarized orthogonal frequency division multiplexing (OFDM)-based modulation in a directly modulated distributed feedback (DFB)-laser over 25 km of single-mode fiber. A Volterra equalizer is used to compensate for the nonlinear effects of the optical fiber. The results show that FBMC-OQAM modulation outperforms OFDM, universal filtered multicarrier (UFMC), and generalized frequency division multiplexing (GFDM) waveforms. Indeed, a target bit error rate of ∼3.8  ×  10  −  3 [forward error correction (FEC) limit] for FBMC, UFMC, OFDM, and GFDM can be achieved at −30.5, −26, −16, and −14.9  dBm, respectively. The effect of the DFB laser is also investigated for UFMC, OFDM, and GFDM, and they undergo a Q penalty of 2.44, 2.77, and 4.14 dB, respectively, at their FEC limit points. For FBMC-OQAM, the signal is perfectly recovered when excluding the DFB laser at −30.5  dBm.

© 2020 Society of Photo-Optical Instrumentation Engineers (SPIE) 0091-3286/2020/$28.00 © 2020 SPIE
Oussama Gharbi, Sofien Mhatli, Iyad Dayoub, Shyqyri Haxha, Rabah Attia, Adel Aldalbahi, and Mohammed Jasim "Performance assessment of dual-polarized 5G waveforms and beyond in directly modulated DFB-laser using Volterra equalizer," Optical Engineering 59(5), 056114 (29 May 2020). https://doi.org/10.1117/1.OE.59.5.056114
Received: 2 April 2020; Accepted: 12 May 2020; Published: 29 May 2020
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Modulation

Orthogonal frequency division multiplexing

Optical filters

Optical engineering

Electronic filtering

Nonlinear filtering

Forward error correction

Back to Top