Demo Data from EDBT 2026 / reviewers in the wild / expert
Dries Vande Ginste
dblp:43/9756
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-0178-288XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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.
| Computer networks
1 paper |
Physical-layer communications · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › digital subscriber line
crosstalk cancellation |
0.3 | 1 | 2018 | MIMO Time-Domain Equalization for High-Speed Continuous Transmission Under Channel Variability · IEEE Trans. Commun. 2018 |
Physical-layer communications › equalization
decision feedback equalization |
0.3 | 1 | 2018 | MIMO Time-Domain Equalization for High-Speed Continuous Transmission Under Channel Variability · IEEE Trans. Commun. 2018 |
Physical-layer communications
intersymbol interference mitigation |
0.3 | 1 | 2018 | MIMO Time-Domain Equalization for High-Speed Continuous Transmission Under Channel Variability · IEEE Trans. Commun. 2018 |
Physical-layer communications › equalization
MIMO equalization |
0.3 | 1 | 2018 | MIMO Time-Domain Equalization for High-Speed Continuous Transmission Under Channel Variability · IEEE Trans. Commun. 2018 |
Physical-layer communications › equalization
time-domain equalization |
0.3 | 1 | 2018 | MIMO Time-Domain Equalization for High-Speed Continuous Transmission Under Channel Variability · IEEE Trans. Commun. 2018 |
Physical-layer communications › channel modeling › channel characterization
channel statistics |
0.1 | 1 | 2018 | MIMO Time-Domain Equalization for High-Speed Continuous Transmission Under Channel Variability · IEEE Trans. Commun. 2018 |
Physical-layer communications › channel modeling › channel characterization
channel variability |
0.1 | 1 | 2018 | MIMO Time-Domain Equalization for High-Speed Continuous Transmission Under Channel Variability · IEEE Trans. Commun. 2018 |
Methods — techniques the papers use, named apart from their topics
penalty successive upper bound minimization · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | MIMO Time-Domain Equalization for High-Speed Continuous Transmission Under Channel VariabilityabstractHigh-speed communication over mutually coupled channels can be severely affected by intersymbol interference (ISI) and crosstalk (XT). Multiple-input multiple-output (MIMO) equalization is known to mitigate both ISI and XT, but requires accurate channel information at the receiver (RX) and/or transmitter (TX), when the channel is stochastic. However, since adjusting the equalization filters to the specific channel realization involves a considerable implementational and computational complexity, it is desirable to keep the equalization filters fixed irrespective of the specific channel realization, especially when the channel variability is relatively small. Therefore, we propose a general MIMO transceiver scheme where the equalization filters depend on the channel statistics rather than the actual channel. More specifically, by considering the time-domain equalization with the fixed linear MIMO pre-equalization and adjustable MIMO decision feedback equalization, the complexity associated with passing channel information from the RX to the TX is avoided, and the computationally intensive and iterative calculations of the fixed pre-equalizer can be performed offline rather than on-chip. The proposed equalization scheme is shown to yield only a small performance degradation compared to fully adjustable equalization schemes, thereby enabling multi-Gbit/s chip-to-chip communication over low-cost electrical interconnects which are prone to manufacturing tolerances. Jelle Bailleul, Lennert Jacobs, Paolo Manfredi, Dries Vande Ginste, Mamoun Guenach, Marc Moeneclaey |
IEEE Trans. Commun. | 4 |
| 2017 | MIMO Equalization for Multi-Gbit/s Access Nodes Affected by Manufacturing TolerancesabstractWhile the requirements for delivering high throughputs increase exponentially with every generation of access node hardware, the device cost is of primary concern. As a result, multiple- input multiple-output (MIMO) equalization, which has been shown to facilitate multi-Gbit/s communication over low-cost parallel electrical interconnects, is emerging as an attractive high- speed interconnect solution for next-generation access nodes. Because of the high operating frequencies, however, the transfer functions of the on- and off-chip interconnects become highly susceptible to manufacturing tolerances (MTs); hence, the equalization filters must be adjusted to the specific channel realization to achieve optimal performance, which involves a high implementation and computational complexity. Considering that the MTs are usually limited, we propose a robust low-complexity transceiver consisting of a fixed MIMO linear pre-equalizer (which avoids the need for feeding back the channel state information to the transmitter), with either a fixed or adjustable MIMO decision- feedback equalizer (DFE). For a specific chip-to- chip interconnect operating at 75 Gbit/s per line and a 26 dB signal-to-noise ratio, we show that the resulting bit error rate does not exceed 10^(-12) for MTs up to 10.5% (fixed DFE) and 17.7% (adjustable DFE) of the nominal line width. Lennert Jacobs, Jelle Bailleul, Paolo Manfredi, Mamoun Guenach, Dries Vande Ginste, Marc Moeneclaey |
GLOBECOM | 5 |