Investigations with Mode Division Multiplexed Transmission

Tripathi, Dulal Krishna; Singh, Pallavi

doi:10.14810/elelij.2014.3304

Cited by 2 publications

(3 citation statements)

References 18 publications

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“…In this paper min and max, normalization is used. The min and max of the signal values are 0 and one as shown in (2) where the actual value is x, the minimum value in the range is x_min and x_max is the maximum value in the range [27]. 2 illustrates the normalized distorted signal and the normalized reference signal after normalization process.…”

Section: Figure 1 Mode Division Multiplexer Modelmentioning

confidence: 99%

“…Fibre optic has advantages such as speed of transfer rate. However, single mode fiber transmission capacity is close to its maximum performance limit [2], especially with the increasing demand on cloud computing, social media and big data applications. Therefore improving the performance of multimode fibre using multiplexer is an promising method to transfer huge data to adhere the global demands for the Internet [3].…”

Section: Introductionmentioning

confidence: 99%

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Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission

et al. 2019

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The performance of optical mode division multiplexer (MDM) is affected by inter-symbol interference (ISI), which arises from higher-order mode coupling and modal dispersion in multimode fiber (MMF). Existing equalization algorithms in MDM can mitigate linear channel impairments, but cannot tackle nonlinear channel impairments accurately. Therefore, mitigating the noise in the received signal of MDM in the presence of ISI to recover the transmitted signal is important issue. This paper aims at controlling the broadening of the signal from MDM and minimizing the undesirable noise among channels. A dynamic evolving neural fuzzy inference system (DENFIS) equalization scheme has been used to achieve this objective. Results illustrate that nonlinear DENFIS equalization scheme can improve the received distorted signal from an MDM with better accuracy than previous linear equalization schemes such as recursive‐least‐square (RLS) algorithm. Desirably, this effect allows faster data transmission rate in MDM. Additionally, the successful offline implementation of DENFIS equalization in MDM encourages future online implementation of DENFIS equalization in embedded optical systems.

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Section: Figure 1 Mode Division Multiplexer Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission

et al. 2019

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“…Among them, we have chosen Space Division Multiplexing (SDM) that includes Mode Division Multiplexing (MDM) using MMF or FMF [5]. The SDM is a swiftly emerging as a potential candidate for increasing the aggregate bandwidth of existing fiber optic systems [15]. An SDM is an optical…”

Section: Introductionmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Al-dawoodi¹,

Fareed²,

Masuda³

et al. 2018

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Nonlinearities in optical fibers deteriorate system performances and become a major performancelimiting issue. This article aims to investigate the compensation of nonlinear distortions in optical communication systems based on different wavelength propagations over few-mode fiber (FMF). The study adopted Space Division Multiplexing (SDM) based on decision feedback equalizer (DFE). Various transmission wavelength of the FMF system is applied to mitigate the attenuation effect on the system. In this paper, different wavelengths (780, 850 and 1550 nm) are used in SDM. Extensive simulation is performed to assess the attenuation and Bit Error Rate (BER) in each case. The results show that the wavelength of 1550 nm produces higher power and less attenuation in the transmission. Furthermore, this wavelength produces the best distance with less BER compared to 780 nm and 850 nm wavelengths. Moreover, the validations show improvement in BER and eye diagram.

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Investigations with Mode Division Multiplexed Transmission

Abstract: Abstract

Cited by 2 publications

References 18 publications

Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission

Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission

International Journal of Electronics and Telecommunications

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