Design and analysis of turbo-coded DCM-OFDM ultra-wideband system with radio-over-fiber and wireless transmission in underwater communication

Manimegalai, C. T.; Gauni, Sabitha; Kalimuthu, K.; Bashkaran, Reshma

doi:10.1007/s12596-020-00603-9

Cited by 8 publications

(1 citation statement)

References 19 publications

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“…The CMT and CPT has been applied to evaluate in terms of average crosstalk. The fiber works under single mode condition with homogeneous structure for the application of long-haul communication [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Performance Enhancement in Multicore Fiber Using Trench Assisted Technique

Fatmia

Manimegalai

Gauni

et al. 2021

Preprint

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Analysis of crosstalk in multicore fiber using trench assisted technique. To reduce the crosstalk between the cores in the fiber the coupled mode theory and coupled power theory are adopted for crosstalk estimation and considering different design parameters such as core pitch, bending radius and wavelength to optimize the crosstalk performance. The homogeneous fiber which works under single mode operation has been considered. The study of performance by varying the trench width is also analysed. Crosstalk variation in outer cores and center core of the fiber is studied. And the study of variation of crosstalk with 5 different core radius has been done. The numerical simulation results of crosstalk behavior over bending radius, wavelength and trench width is obtained.

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Section: Introductionmentioning

confidence: 99%

Performance Enhancement in Multicore Fiber Using Trench Assisted Technique

Fatmia

Manimegalai

Gauni

et al. 2021

Preprint

Self Cite

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Channel modeling for UWOC: a simulation approach

Manimegalai

Bhatta

Thakur

et al. 2022

J Opt

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Machine Learning-Based Solution Predicting Hardware Faults

Ganesan

James²,

Perumal³

et al. 2021

J. Phys.: Conf. Ser.

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Constant exploration of better performance and energy consumption has led to several hardware-based generators being used in interdependent SoC. Such generators abuse the intrinsic contrast of activities, and they also forgive inconsistencies in their outputs, such as image and optical machine learning applications. At about the same time owing to process growing and control constraints, irreversible faults are escalating, leading to incorrect outputs. Strategy to resolve this issue, which uses machine learning training tools to improve the impact of permanent fix in hardware accelerators that can withstand incorrect outputs. The suggested financial benefits do not need any accelerator details and are highly flexible with low capital areas. Furthermore, earlier work is very time intensive as it involves the introduction of fault pairs into the gate netlists to test their effect on the outputs. To solve these problems, this paper proposed to improve representation first by increasing the degree of complexity from the degree of both the gate to a stage of actions. The power to make segments and sub of the same contextual definition with specific features by establishing numerous propagation commands in the supply chain context involves. Test data demonstrate that our proposed approach is a simple and reliable way of generating different designs to secure the device.

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Design and analysis of turbo-coded DCM-OFDM ultra-wideband system with radio-over-fiber and wireless transmission in underwater communication

Cited by 8 publications

References 19 publications

Performance Enhancement in Multicore Fiber Using Trench Assisted Technique

Performance Enhancement in Multicore Fiber Using Trench Assisted Technique

Channel modeling for UWOC: a simulation approach

Machine Learning-Based Solution Predicting Hardware Faults

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