Digital Predistortion for Linearity Improvement of VCSEL-SSMF-Based Radio-Over-Fiber Links

Hadi, Muhammad Usman; Traverso, Pier Andrea; Tartarini, Giovanni; Venard, Olivier; Baudoin, Geneviève; Polleux, Jean-Luc

doi:10.1109/lmwc.2018.2889004

Cited by 48 publications

(30 citation statements)

References 11 publications

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“…The DPD architecture employed in this work is the Generalized Memory Polynomial (GMP) which was recently applied to RoF based VCSELs [21,27,29], is based on the expression:…”

Section: Modeling Approachmentioning

confidence: 99%

“…Digital Predistortion (DPD) has proven to be a worthwhile method that leads to reduction of the nonlinearities in RoF systems [21][22][23][24], and in this context Indirect Learning Architecture (ILA) is utilized for the DPD identification [21][22][23][24][25][26][27]. The primary intension behind this method utilizes a digital predistorter (PD) which has inverse and nonlinear profile to that of the Radio over Fiber system.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, when cascaded with the RoF system, it will lead to linearization of the overall cascaded system. DPD linearization technique using memory polynomials based on Volterra series has been applied to Nonlinear RoF link [21][22][23][24][25][26]. Similarly, the Digital Predistortion technique based on canonical piecewise-linear (CPWL) function was proposed for intensity modulated/direct detection RoF system [26], [27].…”

Section: Introductionmentioning

confidence: 99%

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Practically Feasible Closed-Loop Digital Predistortion for VCSEL-MMF-Based Radio-over-Fiber links

Hadi¹,

Nanni²,

Venard³

et al. 2020

RADIOENGINEERING

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The article demonstrates a novel Digital Predistortion (DPD) architecture for Mobile Front Haul links for the advanced Long-Term Evolution (LTE) and upcoming 5G networks. Precisely, the use of a feedback approximation method has been proposed and experimentally demonstrated herein that simplifies the complexities in realizing the practical DPD technique for Multi-Mode VCSELs and Multi-Mode Fibers based Radio over Fiber systems. As a figure of merit, linearization efficiency is provided in terms of Adjacent Channel Power Ratio, Normalized Mean Square Error and Error Vector Magnitude referring to a complete LTE frame occupying 10 MHz with 256-QAM modulation format.

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“…The DPD architecture employed in this work is the Generalized Memory Polynomial (GMP) which was recently applied to RoF based VCSELs [21,27,29], is based on the expression:…”

Section: Modeling Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Practically Feasible Closed-Loop Digital Predistortion for VCSEL-MMF-Based Radio-over-Fiber links

Hadi¹,

Nanni²,

Venard³

et al. 2020

RADIOENGINEERING

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“…The mollification of nonlinearities has gained immense importance to increase the optical system capacity. Many impairment mitigation methods have been proposed that includes the linearization based on Digital Predistortion [10][11][12][13]. Direct Digital Predistortion technique (DPDT) that linearizes the links by realizing the behavioral model of A-RoF links was also proposed in [6,13].…”

Section: Introductionmentioning

confidence: 99%

<em></em>Nonlinearities Diminution in 40 Gb/s 256 QAM Radio over Fiber Link via Machine Learning Method

Hadi¹

2019

Preprint

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Machine learning (ML) methodologies have been looked upon recently as a potential candidate for mitigating nonlinearity issues in optical communications. In this paper, we experimentally demonstrate a 40-Gb/s 256-quadrature amplitude modulation (QAM) signal-based Radio over Fiber (RoF) system for 50 km of standard single mode fiber length which utilizes support vector machine (SVM) decision method to indicate an effective nonlinearity mitigation. The influence of different impairments in the system is evaluated that includes the influences of Mach-Zehnder Modulator nonlinearities, in-phase and quadrature phase skew of the modulator. By utilizing SVM, the results demonstrated in terms of bit error rate and eye linearity suggest that impairments are significantly reduced and licit input signal power span of 5dBs is enlarged to 15 dBs.

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“…Nonlinearities mitigation has been proposed via Optical and Electrical domain methods, with latter getting more attention. Digital Predistortion has gained immense attention and therefore it is still looked to be an important methodology [11][12][13][14][15][16]. However, these DPD based linearization techniques are not so straight forward and are rather complex, time consuming and adds extra over heads [17].…”

mentioning

confidence: 99%

RL-SARSA Machine Learning Based Analog Radio over Fiber System

Hadi¹

2019

Preprint

Self Cite

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We propose a 10-Gb/s 64-quadrature amplitude modulation (QAM) signal-based Radio over Fiber (RoF) system for 50 km of standard single mode fiber length which utilizes Reinforcement Learning (RL) SARSA based decision method to indicate an effective decision which mitigates nonlinearity. By utilizing RL-SARSA algorithm, the results demonstrate that significant reduction can be obtained in terms of bit error rate.

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Digital Predistortion for Linearity Improvement of VCSEL-SSMF-Based Radio-Over-Fiber Links

Cited by 48 publications

References 11 publications

Practically Feasible Closed-Loop Digital Predistortion for VCSEL-MMF-Based Radio-over-Fiber links

Practically Feasible Closed-Loop Digital Predistortion for VCSEL-MMF-Based Radio-over-Fiber links

<em></em>Nonlinearities Diminution in 40 Gb/s 256 QAM Radio over Fiber Link via Machine Learning Method

RL-SARSA Machine Learning Based Analog Radio over Fiber System

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