EDBT 2026 Demo / reviewers in the wild / expert
Bin Lee
dblp:92/5617
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2007
0000-0002-9906-9651ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 first-author
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
2 papers |
Physical-layer communications · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › interference
crosstalk |
0.1 | 1 | 2007 | Binder MIMO Channels · IEEE Trans. Commun. 2007 |
Physical-layer communications
digital subscriber line |
0.1 | 1 | 2007 | Gigabit DSL · IEEE Trans. Commun. 2007 |
Physical-layer communications
MIMO |
0.1 | 1 | 2007 | Gigabit DSL · IEEE Trans. Commun. 2007 |
Physical-layer communications › channel modeling
MIMO channel modeling |
0.1 | 1 | 2007 | Binder MIMO Channels · IEEE Trans. Commun. 2007 |
Physical-layer communications › interference › crosstalk
near-end crosstalk and far-end crosstalk |
0.1 | 1 | 2007 | Binder MIMO Channels · IEEE Trans. Commun. 2007 |
Methods — techniques the papers use, named apart from their topics
multiconductor transmission line theory · 0.1channel matrix modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Gigabit DSLabstractThis paper applies multiple-input multiple-output (MIMO) transmission methods to multiwire communication systems. Using channel matrices generated from a binder MIMO channel model, a performance assessment of digital subscriber line (DSL) technology based on MIMO transmission methods finds that symmetric data rates of more than 1 Gbps are achievable over four twisted pairs (category 3) for a 300 m range. Similar results are also obtained for a ldquoquadrdquo cable. To achieve this data rate, this paper proposes that the source and load be excited using common mode. Bin Lee, John M. Cioffi, Sumanth Jagannathan, Mehdi Mohseni |
IEEE Trans. Commun. | 1 |
| 2007 | Binder MIMO ChannelsabstractThis paper introduces a multiple-input multiple-output channel model for the characterization of a binder of telephone lines. This model is based on multiconductor transmission line theory, and uses parameters that can be obtained from electromagnetic theory or measured data. The model generates frequency-dependent channel/binder transfer function matrices as a function of cable type, geometric line-spacing and twist-length parameters, and source--load configurations. The model allows the extraction of the magnitude and the phase of individual near end crosstalk, far end crosstalk, split-pair, and phantom transfer functions from the transfer function matrix of the binder. These individual crosstalk transfer functions are often found to be very sensitive to small imperfections in the binder. Examples of category 3 twisted pair American telephone lines and ldquoquadrdquo telephone cables are also presented. Bin Lee, John M. Cioffi, Sumanth Jagannathan, Kibeom Seong, Mehdi Mohseni, Mark H. Brady |
IEEE Trans. Commun. | 1 |