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Doctorate thesis defense of Latifa GUESMI

Doctorate thesis defense on September 27th 2017 at 09H00 ,in Amphi, Sup’Com.

Entitled :Study of Advanced Modulation Format Recognition and Optical Performance Monitoring Techniques for the Next Generation Optical Networks

Presented by :Latifa GUESMI



Ridha Bouallegue

Professor, SUP’COM, Tunisia.





Houria Rezig

Professor, ENIT, Tunisia.


Habib Fathallah

Associate Professor, FSB, Tunisia


Faouzi Bahloul

Associate Professor, ENIT, Tunisia.


Thesis Director

Mourad Menif

Professor, SUP’COM, Tunisia.



For proper operation of next-generation optical networks, and to meet the rapid growth of data traffic with the increasing requirements for higher bandwidth, the need of complex management has more expressed last years. The dynamic nature of such networks incorporating advanced modulation formats has provided a new set of challenges to be faced in the design process. In fact, transmitted optical signals suffer from various physical channel impairments, such as Chromatic Dispersion (CD), Polarization Mode Dispersion (PMD), Amplified Spontaneous Emission (ASE) noise and laser phase noise. Besides, key optical performance parameters including output power, Optical Signal-to-Noise Ratio (OSNR), Q-factor and Bit-Error Rate (BER) depict the quality of received signals. Optical Performance Monitoring (OPM) has considered as an alternative way for the supervision of signal quality in transparent manner. It helps on the diagnosis of optical impairments in the physical layer. Therefore, the knowledge of modulation type during the monitoring process has attracted much interest by the researchers. For that, for better quality of transmission, adaptive impairments compensation and efficient system management, Modulation Format Recognition (MFR) is essential at the intermediate network nodes.

This thesis focuses on the development of efficient MFR and OPM techniques capable of multi-impairment monitoring and simultaneous bit rate and modulation format identification. Several methods have been investigated for this purpose incorporating all statistical properties of transmitted signals. These techniques are robust and cost-effective. They offer high classification accuracies of modulation formats and facilitate the monitoring of channel parameters simultaneously and independently at high ranges.


Optical performance monitoring, Advanced optical modulation, Modulation format recognition, multi-impairment monitoring, High-speed systems, nonlinear optics, CD, PMD, OSNR, BER, ANN, AAH.