Variance normalizing transform for performance improvement in radio-over-fiber systems

Tavakkolnia, Iman; Safari, Majid

doi:10.1109/eucnc.2016.7561043

Cited by 2 publications

(2 citation statements)

References 133 publications

(264 reference statements)

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“…In effect, the conventional coding and signal processing techniques would be sufficient for efficient communication over the transformed channel. Shot noise is an example of a signal-dependent noise and VNT has been recently used for efficient signaling and capacity approximation over shot-noiselimited channels [46]- [48].…”

Section: A Variance Normalizing Transformmentioning

confidence: 99%

Capacity analysis of signaling on the continuous spectrum of nonlinear optical fibers

Tavakkolnia

Safari

2017

J. Lightwave Technol.

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This paper investigates the capacity of signaling on the continuous spectrum (CS) of optical fibers as defined by nonlinear Fourier transform (NFT). The channel model of such NFT-based optical fiber communication systems is studied based on the behavior of the propagated optical signal in time domain for an asymptotically long fiber length. The derived channel model is validated using simulation for different scenarios of practical interest. An important characteristic of the channel in nonlinear spectral domain is the strong dependency of noise to signal. A variance normalizing transform is applied as a tool to obtain an estimate on the capacity of the underlying channel. The results predict a remarkable capacity for signaling on CS which can be utilized as an extra degree of freedom along with discrete spectrum (i.e., soliton transmission). It is further observed that the channel capacity of signaling on CS saturates at high signal power despite the linearizing capability of NFT.

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Section: A Variance Normalizing Transformmentioning

confidence: 99%

Capacity analysis of signaling on the continuous spectrum of nonlinear optical fibers

Tavakkolnia

Safari

2017

J. Lightwave Technol.

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“…The VNT was used in [26] as a tool to approximate the capacity of CS channel (8). It has also been used for efficient signaling and capacity approximation over shot-noise-limited optical channels [40][41][42]. In general, the variance normalizing transform can be applied to a random variable, where its variance varies as a function of its mean, to generate an approximately Gaussian random variable with a variance independent of its mean.…”

Section: Nonuniform Signalingmentioning

confidence: 99%

Signaling on the continuous spectrum of nonlinear optical fiber

Tavakkolnia¹,

Safari²

2017

Opt. Express

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This paper studies different signaling techniques on the continuous spectrum (CS) of nonlinear optical fiber defined by nonlinear Fourier transform. Three different signaling techniques are proposed and analyzed based on the statistics of the noise added to CS after propagation along the nonlinear optical fiber. The proposed methods are compared in terms of error performance, distance reach, and complexity. Furthermore, the effect of chromatic dispersion on the data rate and noise in nonlinear spectral domain is investigated. It is demonstrated that, for a given sequence of CS symbols, an optimal bandwidth (or symbol rate) can be determined so that the temporal duration of the propagated signal at the end of the fiber is minimized. In effect, the required guard interval between the subsequently transmitted data packets in time is minimized and the effective data rate is significantly enhanced. Moreover, by selecting the proper signaling method and design criteria a distance reach of 7100 km is reported by only singling on CS at a rate of 9.6 Gbps.

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Variance normalizing transform for performance improvement in radio-over-fiber systems

Cited by 2 publications

References 133 publications

Capacity analysis of signaling on the continuous spectrum of nonlinear optical fibers

Capacity analysis of signaling on the continuous spectrum of nonlinear optical fibers

Signaling on the continuous spectrum of nonlinear optical fiber

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