Correlated Nonlinear Phase-Noise in Multi-Subcarrier Systems: Modeling and Mitigation

Golani, Ori; Pilori, Dario; Guiomar, Fernando P.; Bosco, Gabriella; Carena, Andrea; Shtaif, Mark

doi:10.1109/jlt.2019.2939706

Cited by 12 publications

(5 citation statements)

References 31 publications

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“…Subsequent studies related to the capacity of fiber-communications channels [40], [43], [45], [48], [49], [50], [72], as well as [54] and references therein, adopted the general framework of [34] but deepened the understanding of the underlying physical phenomena and expanded the consideration to more realistic settings. Further improvements in the assessment of capacity lower bounds were obtained by developing analytical models of NLIN [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84], [85], [86] and through attempts to account for its temporal correlation properties [48], [73], [74], [75], [76], [77], [78].…”

Section: Fig 2 Illustration Of the Dependence Of The Fiber-channel Ca...mentioning

confidence: 99%

Challenges in Estimating the Information Capacity of the Fiber-Optic Channel

et al. 2022

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Since its early commercial deployment in the late 1980s, optical fiber has evolved to become the predominant carrier of the globe's communications. Yet, after accommodating the world's exponentially growing appetite for transmitted data for more than three decades, its ability to continue doing so is being challenged by fundamental factors. In this article, we review these factors and examine their consequences in terms of information capacity. In particular, we review the difficulties that are imposed by the nonlinear nature of fiber-optic transmission on the assessment of the capacity and on the definition of fundamental concepts, such as bandwidth and spectral efficiency. We discuss relevant approximations and regimes of operation in which bounds for the capacity can be effectively assessed while covering a broad range of applications ranging from interdatacenter communications to links spanning transoceanic distances. We relate to a broad variety of transmission schemes and discuss the potential benefits of spatial multiplexing with multimode and multicore fibers.State-of-the-art transmission experiments are also reviewed and compared with theoretical capacity bounds.

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Section: Fig 2 Illustration Of the Dependence Of The Fiber-channel Ca...mentioning

confidence: 99%

Challenges in Estimating the Information Capacity of the Fiber-Optic Channel

et al. 2022

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“…The difficulty of this problem lies in how to calculate the pitch, stress, speed, and rhythm, as well as the relationship between their corresponding vocal acoustic structural features. Rate the pronunciation of words, phrases, or sentences [21] (2) How to detect and correct phoneme level pronunciation errors of a given voice and give learners correction feedback in a friendly way…”

Section: Voice Scoring and Errormentioning

confidence: 99%

Application of Multimodal NLP Instruction Combined with Speech Recognition in Oral English Practice

2022

Mobile Information Systems

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In order to study the application of multimodal NLP instruction combined with speech recognition based on hybrid deep learning in oral English practice, firstly, the basic principle of speech recognition technology is introduced. The concept of hidden Markov model and three key algorithms are explained, and its simulation and implementation in speech recognition application are realized. The architecture and key technologies of the system are introduced. Then, it introduces the specific application of deep learning in NLP. Finally, Chinese teachers with oral English teaching experience participate in the recording. The effective reading time of each person is 65 minutes, and the reading sentences are 3100 sentences. The total number of people is 80 (40 men and 40 women). The sentences cover 1595 spoken English words. Conduct oral English training. The experimental results show that the recognition accuracy decreases by about 2%, but the recognition speed increases by 10 times. In addition, the scoring accuracy is equivalent to that of the platform system. The accuracy of this method in instruction classification is increased, which verifies the feasibility and effectiveness of this method. In the future, attention mechanism will be used to expand this method.

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“…D. Dahan is also with the Department of Electrical Engineering, Holon Institute of Technology, 52 Golomb street, Holon 58102, Israel (email: david.dahan@huawei.com; michael.zarubinsky@huawei.com; liangyunhua1@huawei.com ) penalties as some portions of the channel optical power are transferred from higher to lower optical frequencies via nonlinear inelastic scattering of the signal photons by the fiber silica medium [8]. Accurate and reliable simulations of nonlinear DWDM systems with a large number of interfering channels (IC) are critical for designing and predicting the performance of fiber-communications systems [9][10][11], for the development of nonlinearity tolerant modulation formats and for devising effective nonlinearity equalization techniques [12][13][14], as well as for optical networking related applications such as optical channel monitoring [15], fast and accurate network planning tools [16] and means against physical layer related security threats [17]. Simulation of large channel-count systems are extremely demanding in terms of computational resources and often require unacceptably long computation time when relying on the conventional split-step Fourier-transform method (SSFTM) [18].…”

Section: Introductionmentioning

confidence: 99%

Universal Virtual Lab: A Fast and Accurate Simulation Tool for Wideband Nonlinear DWDM Systems

Dahan

Zarubinsky²,

Liang³

et al. 2022

J. Lightwave Technol.

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Abstract-We introduce the concept of the universal virtual lab, an extension to the virtual lab platform of [30], enabling a fast and accurate simulation of wideband nonlinear DWDM systems. The universal virtual lab is compliant with non-ideal transmitter and receiver architectures, distributed optical filters in the optical link, inter-channel stimulated Raman scattering, and it provides accurate performance predictions even when adaptive equalization methods are applied. In comparison with the conventional full-bandwidth split step Fourier transform method, we show with different test scenarios that the universal virtual lab provides accuracy errors below 0.1 dBQ and 0.09 bit/4D-symb in Q-factor and GMI assessments respectively, with runtime speedup factors exceeding 1000. We also report performance assessments in an ultra-wideband (11 THz) C+L system and discuss equalization gain under different compensation scenarios. The estimated speedup factor with respect to the fullbandwidth split step Fourier transform method is assessed to be greater than 35,000.

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Correlated Nonlinear Phase-Noise in Multi-Subcarrier Systems: Modeling and Mitigation

Abstract: We explore correlated nonlinear phase noise (NLPN) in multi-subcarrier systems.We derive an analytical model for predicting the covariance between the NLPN affecting different subcarriers, and offer a simple algorithm which uses the correlations for improved NLPN mitigation.

Cited by 12 publications

References 31 publications

Challenges in Estimating the Information Capacity of the Fiber-Optic Channel

Challenges in Estimating the Information Capacity of the Fiber-Optic Channel

Application of Multimodal NLP Instruction Combined with Speech Recognition in Oral English Practice

Universal Virtual Lab: A Fast and Accurate Simulation Tool for Wideband Nonlinear DWDM Systems

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