Demo Data from EDBT 2026 / reviewers in the wild / expert
Antonio Mecozzi
dblp:132/9418
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Optical networks
optical fiber communication |
0.6 | 1 | 2022 | Challenges in Estimating the Information Capacity of the Fiber-Optic Channel · Proc. IEEE 2022 |
Information theory › channel capacity
capacity bounds |
0.6 | 1 | 2022 | Challenges in Estimating the Information Capacity of the Fiber-Optic Channel · Proc. IEEE 2022 |
Information theory
channel capacity |
0.6 | 1 | 2022 | Challenges in Estimating the Information Capacity of the Fiber-Optic Channel · Proc. IEEE 2022 |
Physical-layer communications › MIMO
spatial multiplexing |
0.2 | 1 | 2022 | Challenges in Estimating the Information Capacity of the Fiber-Optic Channel · Proc. IEEE 2022 |
Physical-layer communications
channel modeling |
0.1 | 1 | 2009 | Minimum-phase impulse response channels · IEEE Trans. Commun. 2009 |
Physical-layer communications › channel modeling › channel characterization
impulse response |
0.1 | 1 | 2009 | Minimum-phase impulse response channels · IEEE Trans. Commun. 2009 |
Physical-layer communications
channel estimation |
0.0 | 1 | 2009 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Challenges in Estimating the Information Capacity of the Fiber-Optic ChannelabstractSince 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. IEEE | 3 |
| 2014 | On shaping gain in the nonlinear fiber-optic channelabstractFiber'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 |
ISIT | 3 |
| 2009 | Minimum-phase impulse response channelsabstractWe 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 |