2020
DOI: 10.3390/e22080899
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On the Capacity of Amplitude Modulated Soliton Communication over Long Haul Fibers

Abstract: The capacity limits of fiber-optic communication systems in the nonlinear regime are not yet well understood. In this paper, we study the capacity of amplitude modulated first-order soliton transmission, defined as the maximum of the so-called time-scaled mutual information. Such definition allows us to directly incorporate the dependence of soliton pulse width to its amplitude into capacity formulation. The commonly used memoryless channel model based on noncentral chi-squared distribution is initially consid… Show more

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Cited by 11 publications
(19 citation statements)
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“…[14] and fibre optical communication systems [15], [17]. In this section, we will briefly introduce the SPAD-based system with SQRT.…”
Section: System With Square-root Transformmentioning
confidence: 99%
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“…[14] and fibre optical communication systems [15], [17]. In this section, we will briefly introduce the SPAD-based system with SQRT.…”
Section: System With Square-root Transformmentioning
confidence: 99%
“…Let's firstly consider the design of VNT at the receiver. The VNT is applied to random variables with certain relationships between the variance and mean to generate approximately Gaussian random variables with variance independent of the mean [13], [15], [17], [25] 1 . Defining the relationship between the mean and variance of the received SPAD signal given in (37) as σ 2 m =…”
Section: B System With Joint Pre-distortion and Noise Normalizationmentioning
confidence: 99%
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“…In [13], the signalling in the square-root domain is proposed which can transform the signal-dependent noise into signalindependent one to simplify the decoding process and improve the BER performance. Such transformation has been further applied to SPAD-based OWC systems [9] and optical fibre communication [15]- [17]. In addition, in [14] an improved constellation and decoding threshold design for such signal dependent channel is obtained by solving an optimization problem aiming at minimizing the error probabilities.…”
Section: Introductionmentioning
confidence: 99%