High Capacity Transmission With Few-Mode Fibers

Rademacher, Georg; Luís, Ruben S.; Puttnam, Benjamin J.; Eriksson, Tobias A.; Ryf, Roland; Agrell, Erik; Maruyama, Ryo; Aikawa, Kazuhiko; Awaji, Yoshinari; Furukawa, Hideaki; Wada, Naoya

doi:10.1109/jlt.2018.2870038

Cited by 73 publications

(20 citation statements)

References 24 publications

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“…This combination of WDM and FMF supports high speed transmission that can reach up to hundreds of Tera bit/s [40], [41]. For instance, three modes graded-index FMF transmission over C and L bands have been demonstrated to achieve data rates of 159 Tbit/s [40] and 280 Tbit/s [41]. Furthermore, SDM networks based on multi-core fibers and FMF increase the transmission capacity dramatically using a single optical fiber cable [42], [43].…”

Section: Opm In Fmf-based Networkmentioning

confidence: 97%

“…2, where different WDM signals can be transmitted at the same band using different modes [39]. This combination of WDM and FMF supports high speed transmission that can reach up to hundreds of Tera bit/s [40], [41]. For instance, three modes graded-index FMF transmission over C and L bands have been demonstrated to achieve data rates of 159 Tbit/s [40] and 280 Tbit/s [41].…”

Section: Opm In Fmf-based Networkmentioning

confidence: 98%

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Optical Performance Monitoring in Mode Division Multiplexed Optical Networks

Saif

Ragheb

Alshawi

et al. 2021

J. Lightwave Technol.

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This paper considers, for the first time, optical performance monitoring (OPM) in few mode fiber (FMF)-based optical networks. One dimensional (1D) features vector, extracted by projecting a two-dimensional (2D) asynchronous in-phase quadrature histogram (IQH), and the 2D IQH are proposed to achieve OPM in FMF-based network. Three machine learning algorithms are employed for OPM and their performances are compared. These include support vector machine, random forest algorithm, and convolutional neural network. Extensive simulations are conducted to monitor optical to signal ratio (OSNR), chromatic dispersion (CD), and mode coupling (MC) for dual polarization-quadrature phase shift keying (DP-QPSK) at 10, 12, 16, 20, and 28 Gbaud transmission speeds. Besides, M-ary quadrature amplitude modulation (M = 8 and 16) is considered. Also, the OPM accuracy is investigated under different FMF channel conditions including phase noise and polarization mode dispersion. Simulation results show that the proposed 1D projection features vector provides better OPM results than those of the widely used asynchronous amplitude histogram (AAH) features. Furthermore, it has been found that the 2D IQH features outperform the 1D projection features but require larger number of features samples. Additionally, the effect of fiber nonlinearity on the OPM accuracy is investigated. Finally, OPM using the 2D IQH features has been verified experimentally for 10 Gbaud DP-QPSK signal. The obtained results show a good agreement between both simulation and experimental findings.

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Section: Opm In Fmf-based Networkmentioning

confidence: 97%

Section: Opm In Fmf-based Networkmentioning

confidence: 98%

Optical Performance Monitoring in Mode Division Multiplexed Optical Networks

Saif

Ragheb

Alshawi

et al. 2021

J. Lightwave Technol.

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“…In [9], an adaptive MIMO filtering techniques are proposed to de-multiplex the signals upon different modes or cores, and to dynamically compensate for the DMGD plus mode-MDLvia DSP. In [10], it is shown that the MDM system together with MIMO DSP has the potential capability of enhancing capacity, or reducing the transmission energy by one to two orders of magnitude. In addition, advanced digital signal processing (DSP) technology has also demonstrated its potential to mitigate the MDL in the MDM system [11]- [15].…”

Section: Introductionmentioning

confidence: 99%

Soft-Decision Aided Probabilistic Data Association Based Detection for Mode Division Multiplexing Transmission With Mode-Dependent Loss

Cao

Wang

et al. 2019

IEEE Access

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Few-mode fiber (FMF) based mode division multiplexing (MDM) transmission system has been considered as a potential candidate for future backbone network, unfortunately, the mode-dependent loss (MDL) in MDM system remains to be a tough issue in high speed transmission application. Recently, the optimal maximum-likelihood (ML) detection has demonstrated its potential ability and efficiency in suppressing the capacity-limiting MDL. However, this ML detector employed at the receiver of MDM system achieves the optimal performance at the sacrifice of the exponential growth in complexity. Inspired by the fact that probabilistic data association (PDA) is able to offer near-ML performance without introducing the enormous computational complexity, in this paper, a soft-decision aided PDA detector is proposed for MDM system detection, in which the probabilities of the potential candidate symbols are iteratively estimated by using the approximation of the Bayesian theorem. In addition, only those high reliability symbols are detected to save the computational effort. To validate the proposed scheme, both weakly and strongly coupled modes have been considered. Simulation results show that the proposed PDA based detector can achieve a flexible trade-off between the BER performance and the computational complexity when compared with the optimal ML detection in FMF-based MDM system. INDEX TERMS Complexity, mode division multiplexing, mode-dependent loss, probabilistic data association.

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“…Therefore, more convenient communication and connectivity are expected in the next generation communication services such as beyond 5G mobiles. In order to realize such a large capacity data center and access network, novel photonic integrated circuits (PICs), which enable ultra‐fast and large capacity communication, are indispensable, besides improving communication capacity owing to newly developed modulation and system technologies . In addition, characteristics such as low cost and energy consumption, and thermal stability at high temperatures are essential if the PICs are to be integrated with other electronic devices such as large‐scale integrated circuits (LSIs).…”

Section: Introductionmentioning

confidence: 99%

Influence and its Optimal Design of Number of Stacked Layer in Quantum‐Dot Lasers

Matsumoto

Akahane

Umezawa

et al. 2018

Phys. Status Solidi A

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This study deals with quantum dot laser-diodes (QD-LDs). The influence of highly stacked quantum dot (QD) layers in QD-LDs on the laser characteristics through experiments and numerical calculations is reported and the optimal design for the QD-stacked layer numbers is indicated. By introducing new concepts, the previously reported carrier rate equations are modified in order to include the effect of the stacked QD layer numbers. It is confirmed that the threshold current and slope efficiency between fabricated and calculated QD-LDs are almost the same. Considering low threshold current, high output power, and high slope efficiency, the optimal design of the QD-stacked layer number in our QD-LD is supposed to be 14. With this, a threshold current of 38 mA, maximum optical output power of 22.7 mW, and slope efficiency of 0.28 W/A can be obtained from the QD-LD. equipment such as industrial equipment and sensors via the Internet, Machine to Machine (M2M) technology, which shares information between industrial machines, and the edge computing, which instantaneously controls the IoT equipment in real time with edge routers, have attracted attention as crucial techniques in the field of information, communication, and industries. In order to establish such technologies, it is essential not only to develop the technologies of upper layers such as application and architecture, but also to further improve the communication capacity of the core/metro optical communication network, optical/wireless communication in access network, and the network in data centers.The traffic growth of data centers and access networks including wireless links is especially higher than in other networks [1] because the connection from the Internet to individual users is mostly based on wireless communications. Therefore, more convenient communication and connectivity are expected in the next generation communication services such as beyond 5G mobiles. In order to realize such a large capacity data center and access network, novel photonic integrated circuits (PICs), which enable ultra-fast and large capacity communication, are indispensable, [2][3][4][5][6][7][8][9][10][11][12][13] besides improving communication capacity owing to newly developed modulation and system technologies. [14][15][16][17][18] In addition, characteristics such as low cost and energy consumption, and thermal stability at high temperatures are essential if the PICs are to be integrated with other electronic devices such as large-scale integrated circuits (LSIs). The temperature stability is especially important because heat diffused from LSIs causes a high surrounding temperature, which is detrimental to the operating conditions of PICs.In contrast, quantum dot (QD) is an extremely promising material or structure for high-performance optical devices owing to its delta function-like density of states. [19] Several groups have reported that laser diodes (LDs), [20][21][22][23] semiconductor optical amplifiers (SOAs), [24][25][26] and photodiodes (PDs) [27] that utilize...

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High Capacity Transmission With Few-Mode Fibers

Cited by 73 publications

References 24 publications

Optical Performance Monitoring in Mode Division Multiplexed Optical Networks

Optical Performance Monitoring in Mode Division Multiplexed Optical Networks

Soft-Decision Aided Probabilistic Data Association Based Detection for Mode Division Multiplexing Transmission With Mode-Dependent Loss

Influence and its Optimal Design of Number of Stacked Layer in Quantum‐Dot Lasers

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