Planar lightwave circuits

Okamoto, K.

doi:10.1016/b978-012525096-2/50010-6

Cited by 11 publications

(7 citation statements)

References 76 publications

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“…With the growing need for fast and secure communication, optical communication has become the preferred option. It ensures transmission at a high data rate, low cost, and ultra‐high bandwidth 1,2 . In order to transmit multiple carrier signals using a single optical fiber, dense wavelength division multiplexing (DWDM) is used.…”

Section: Introductionmentioning

confidence: 99%

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Machine learning‐based regression models for predicting signal quality of dense wavelength division multiplexing (DWDM) optical communication network

Masih

Kaur

2023

Int J Communication

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Summary Over the years, optical communication systems have been a significant source of fast and secure communication. However, factors like noise and mitigation error can degrade the bit error rate (BER) and quality factor (Q factor) of optical communication systems. Predicting the optimal threshold, Q factor, and BER is usually a difficult task. Therefore, in this paper, machine learning‐based linear regression, least absolute shrinkage and selection operator (LASSO) regression, and Ridge regression have been used for a dense wavelength division multiplexing (DWDM)‐based optical communication network to predict the signal quality. These techniques have been used to predict the desired BER, Q factor, threshold, and eye height of the system. To demonstrate this research concept, a DWDM‐based optical communication network of 50 km length is designed and simulated using Optisystem‐14.0. After data preparation, regression models have been developed and validated through diagnostic plots. Results show that mean square error (MSE) has a significant decline with an increase in the number of epochs for all four models. LASSO and Ridge regression have effectively resolved the issue of overfitting, which occurred in the linear regression case. Furthermore, the mean MSE plot proved the significant reduction of mean MSE in the case of LASSO regression. Results show that min BER for LASSO regression came out to be −173,627.14, providing a robust and cost‐efficient process.

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Section: Introductionmentioning

confidence: 99%

“…It ensures transmission at a high data rate, low cost, and ultra-high bandwidth. 1,2 In order to transmit multiple carrier signals using a single optical fiber, dense wavelength division multiplexing (DWDM) is used. It allows transmission using different wavelengths for present information sources.…”

Section: Introductionmentioning

confidence: 99%

Machine learning‐based regression models for predicting signal quality of dense wavelength division multiplexing (DWDM) optical communication network

Masih

Kaur

2023

Int J Communication

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“…Dense wavelength division multiplexing (DWDM) is the preferable candidate for increasing the capacity throughput of optical networks. Optical multiplexers/demultiplexers based on arrayed waveguide gratings (AWGs) are the key components in such DWDM systems because of their low insertion loss, high stability, and low cost [1]. To meet the growing capacity demands, it is necessary to increase the AWG channel count as much as possible.…”

Section: Introductionmentioning

confidence: 99%

Design of 256-channel 25-GHz AWG for ultra-dense wavelength division multiplexing

Seyringer

Serecunova

Uherek

et al. 2022

22nd Polish-Slovak-Czech Optical Conference on Wave and Quantum Aspects of Contemporary Optics

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We present 256-channel, 25-GHz AWG designed for ultra-dense wavelength division multiplexing. For the design two in-house developed tools were used: AWG-Parameters tool for the calculation of input design parameters and AWGAnalyser tool, used to evaluate the simulated transmission characteristics. The AWG structure was designed for AWG central wavelength of 1550 nm and simulated with PHASAR tool from Optiwave. To keep the size of AWG structure as small as possible the number of waveguides in the phased array was tested. The simulations show that there is a certain minimum number of phased array waveguides necessary to reach sufficient AWG performance. After optimization, the AWG structure reached 10 cm x 11 cm in size and satisfying optical properties.

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“…As chromatic dispersion (CD) is a severe problem in WDM systems because different wavelengths travel through the same fiber, the long-haul transmission gives rise to the accumulated CD in a wavelength-dependent setup [4], which can be compensated by using slope compensation; however, it causes an increase in nonlinear distortions [5]. As compared to linear accumulation of CD, the PMD accumulates stochastically along the fiber length and causes distortion and reduction in peak power for long-haul fiber-optic transmission [6]. For this reason, optical fibers with smaller values of CD are preferred in long haul OCNs.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Equalization for Dispersion Mitigation in Multi-Channel Optical Communication Networks

et al. 2019

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Optical communication networks (OCNs) provide promising and cost-effective support for the ultra-fast broadband solutions, thus enabling them to address the ever growing demands of telecommunication industry such as high capacity and end users’ data rate. OCNs are used in both wired and wireless access networks as they offer many advantages over conventional copper wire transmission such as low power consumption, low cost, ultra-high bandwidth, and high transmission rates. Channel effects caused by light propagation through the fiber limits the performance, hence the data rate of the overall transmission. To achieve the maximum performance gain in terms of transmission rate through the OCN, an optical downlink system is investigated in this paper using feed forward equalizer (FFE) along with decision feedback equalizer (DFE). The simulation results show that the proposed technique plays a key role in dispersion mitigation in multi-channel optical transmission to uphold multi-Gb/s transmission. Moreover, bit error rate (BER) and quality factor (Q-factor) below 10 − 5 and above 5, respectively, are achieved with electrical domain equalizers for the OCN in the presence of multiple distortion effects showing the effectiveness of the proposed adaptive equalization techniques.

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Planar lightwave circuits

Cited by 11 publications

References 76 publications

Machine learning‐based regression models for predicting signal quality of dense wavelength division multiplexing (DWDM) optical communication network

Machine learning‐based regression models for predicting signal quality of dense wavelength division multiplexing (DWDM) optical communication network

Design of 256-channel 25-GHz AWG for ultra-dense wavelength division multiplexing

Adaptive Equalization for Dispersion Mitigation in Multi-Channel Optical Communication Networks

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