Blind Modulation Format Identification Using the DC Component [PDF]
IEEE Photonics Journal, 2019 We propose a blind modulation format identification (MFI) method based on direct-current (DC) component for coherent receivers. The DC value is affected by the distributions of received signal's modulated phase and amplitude. A monitoring factor R
Qingzhao Tan, Aiying Yang, Peng Guo
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Unsupervised Neural Network for Modulation Format Discrimination and Identification [PDF]
IEEE Access, 2019 We propose a new method to discriminate and identify the modulation format of signals based on an unsupervised neural network named convolutional Gaussian-Bernoulli restricted Boltzmann machine (CGBRBM).
Zihan Yang +6 more
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Modulation Format Identification in Mode Division Multiplexed Optical Networks [PDF]
IEEE Access, 2019 In this paper, we address the problem of modulation format identification (MFI) for few mode fiber (FMF) transmission in elastic optical networks (EONs).
Waddah S. Saif +4 more
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Joint Fiber Nonlinear Noise Estimation, OSNR Estimation and Modulation Format Identification Based on Asynchronous Complex Histograms and Deep Learning for Digital Coherent Receivers [PDF]
Sensors, 2021 In this paper, asynchronous complex histogram (ACH)-based multi-task artificial neural networks (MT-ANNs), are proposed to realize modulation format identification (MFI), optical signal-to-noise ratio (OSNR) estimation and fiber nonlinear (NL) noise ...
Shuailong Yang +6 more
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Blind Modulation Format Identification Using Differential Phase and Amplitude Ratio [PDF]
IEEE Photonics Journal, 2019 We propose a blind digital modulation format identification (MFI) method for coherent optical fiber communication systems. Based on the evaluation of differential phase distribution ratio (DPDR) and average of amplitude ratio (AAR), a monitoring factor ${
Qingzhao Tan, Aiying Yang, Peng Guo
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Performance Investigation of Modulation Format Identification in Super-Channel Optical Networks [PDF]
IEEE Photonics Journal, 2022 The problem of automatic modulation format identification (MFI) is one of the main challenges in adaptive optical systems. In this work, we investigate MFI in super-channel optical networks.
Waddah S. Saif +5 more
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Artificial Intelligence Techniques Evaluation for Modulation Format Identification in Optical Networks [PDF]
Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2021 In an elastic network paradigm, where the transceiver is able to control several characteristics of the transmitted signal according to the optical link quality and capacity demand, receivers able to automatically detect the modulation format are ...
André Luiz Nunes de Souza +3 more
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Sensors, 2022 Network automation promises to reduce costs while guaranteeing the required performance; this is paramount when dealing with the forecasted highly dynamic traffic that will be generated by new 5G/6G applications. In optical networks, autonomous lightpath
Diogo Sequeira +5 more
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Advanced Modulation Formats for 400 Gbps Optical Networks and AI-Based Format Recognition [PDF]
SensorsThe integration of communication and sensing (ICAS) in optical networks is an inevitable trend in building intelligent, multi-scenario, application-converged communication systems. However, due to the impact of nonlinear effects, co-fiber transmission of
Zhou He +6 more
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Applied Sciences, 2022 The satellite-to-ground communication system is a significant part of future space communication networks. The free-space optical (FSO) communication technique is a prospective solution for satellite-to-ground communication.
Yucong Gu +5 more
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