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Design of low PAPR 2-Soliton NFDM transmit signals with optimal constellations for NFT-based high-speed optical communication.

Authors :
Nair, S. Sreedevi
N. Vijayakumar
R. Pradeep
Source :
Optical Fiber Technology. Dec2023, Vol. 81, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Optical Fiber Communication is known for its extremely high data-carrying capacity among all the existing transmission technologies. However, its capacity to the fullest is restrained by the effects of nonlinearity, thereby urging nonlinear compensation. In this paper, we have attempted to enhance the performance of Nonlinear Frequency Division multiplexing (NFDM) based nonlinearity compensation, a recent attraction due to its high throughput nature. Here, we design optimal transmit signals, emphasizing lowering the Peak to Average Ratio (PAPR). With appropriate investigation, optimal eigenvalue and Quadrature Amplitude Modulation (QAM) constellations for encoding have been procured that aid in constructing low PAPR NFDM signals. To upgrade the optimal QAM design, two novel Spiral QAM models, Model I and Model II are proposed that diversify signal envelopes in addition to lowering the PAPR. This improves the overall fault tolerance of the NFDM system. For a 2-eigenvalue NFDM system, using the proposed constellations, the PAPR is reduced by 0.24 dB (Model I) and 1.42 dB (Model II), compared to the conventional scheme. Thus, we have designed optimum NFDM transmit pulses and subsequently accomplished a high performing 10 Gbps NFDM system using the proposed constellation models. • Realized an enhanced 10 Gbps NFDM transmission system. • Designed optimal NFDM transmit signals with low Peak to Average Ratio. • Proposed novel Spiral QAM constellation models to diversify signal envelopes. • Improvement in the overall fault tolerance of the NFDM system. • Achieved better transmission reach. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10685200
Volume :
81
Database :
Academic Search Index
Journal :
Optical Fiber Technology
Publication Type :
Academic Journal
Accession number :
173725969
Full Text :
https://doi.org/10.1016/j.yofte.2023.103473