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Antonio Mecozzi

dblp:132/9418 · DBLP profile ↗
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3ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0001-8730-5699ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 since 2021Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Information theory · 100%
Computer networks
2 papers
Optical networks · 60% Physical-layer communications · 40%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Optical networks
optical fiber communication
0.612022
Challenges in Estimating the Information Capacity of the Fiber-Optic Channel · Proc. IEEE 2022
Information theory › channel capacity
capacity bounds
0.612022
Challenges in Estimating the Information Capacity of the Fiber-Optic Channel · Proc. IEEE 2022
Information theory
channel capacity
0.612022
Challenges in Estimating the Information Capacity of the Fiber-Optic Channel · Proc. IEEE 2022
Physical-layer communications › MIMO
spatial multiplexing
0.212022
Challenges in Estimating the Information Capacity of the Fiber-Optic Channel · Proc. IEEE 2022
Physical-layer communications
channel modeling
0.112009
Minimum-phase impulse response channels · IEEE Trans. Commun. 2009
Physical-layer communications › channel modeling › channel characterization
impulse response
0.112009
Minimum-phase impulse response channels · IEEE Trans. Commun. 2009
Physical-layer communications
channel estimation
0.012009
Minimum-phase impulse response channels · IEEE Trans. Commun. 2009

Methods — techniques the papers use, named apart from their topics

nonlinear fiber optics · 1.1information-theoretic bounds · 1.1spectral analysis · 0.1hilbert transform · 0.1
YearPublicationVenuePosition
2022 Challenges in Estimating the Information Capacity of the Fiber-Optic Channel
abstract
Since its early commercial deployment in the late 1980s, optical fiber has evolved to become the predominant carrier of the globe’s communications. Yet, after accommodating the world’s exponentially growing appetite for transmitted data for more than three decades, its ability to continue doing so is being challenged by fundamental factors. In this article, we review these factors and examine their consequences in terms of information capacity. In particular, we review the difficulties that are imposed by the nonlinear nature of fiber-optic transmission on the assessment of the capacity and on the definition of fundamental concepts, such as bandwidth and spectral efficiency. We discuss relevant approximations and regimes of operation in which bounds for the capacity can be effectively assessed while covering a broad range of applications ranging from interdatacenter communications to links spanning transoceanic distances. We relate to a broad variety of transmission schemes and discuss the potential benefits of spatial multiplexing with multimode and multicore fibers. State-of-the-art transmission experiments are also reviewed and compared with theoretical capacity bounds.
Mark Shtaif, Cristian Antonelli, Antonio Mecozzi, Xi Chen 0018
Proc. IEEE3
2014 On shaping gain in the nonlinear fiber-optic channel
abstract
Fiber's nonlinearity fundamentally bounds the achievable information rates in fiber-optic communication systems. In a wavelength-division multiplexed system it induces a nonlinear interference between adjacent channels, an interference that was recently shown to have a strong dependance on the input distribution. In this work we show that a ball shaped input constellation may significantly reduce the nonlinear effects. We study the shaping gains in the fiber-optic channel and show that in certain scenarios the maximum gains may be higher than the 1.53dB ultimate shaping gain in linear additive white Gaussian noise channels. Furthermore, the maximum gain is achieved with a finite-dimensional ball shaping region.
Ronen Dar, Meir Feder, Antonio Mecozzi, Mark Shtaif
ISIT3
2009 Minimum-phase impulse response channels
abstract
We give a sufficient condition that insures that the impulse response of a channel is of minimum phase. The condition is that the energy of the first path be larger than the power spectral density of all subsequent paths. Establishing a lower bound to the first path energy, this condition is more likely to be met if transmitter and receiver are in line-of-sight. Our results show that the Hilbert transform may give unreliable results, if used to extract the channel phase response from frequency-resolved amplitude measurements when the first path is strongly attenuated.
Dajana Cassioli, Antonio Mecozzi
IEEE Trans. Commun.2