Demo Data from EDBT 2026 / reviewers in the wild / expert
Udo Wachsmann
dblp:49/6862
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Theory of computation · 1 · 1 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.
| Theoretical computer science
1 paper |
Coding theory · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes
coded modulation |
0.0 | 1 | 1999 | Multilevel codes: Theoretical concepts and practical design rules · IEEE Trans. Inf. Theory 1999 |
Coding theory › error-correcting codes › coded modulation
multilevel coding |
0.0 | 1 | 1999 | Multilevel codes: Theoretical concepts and practical design rules · IEEE Trans. Inf. Theory 1999 |
Coding theory › error-correcting codes › decoding › decoding algorithms › decoding of block codes
multistage decoding |
0.0 | 1 | 1999 | Multilevel codes: Theoretical concepts and practical design rules · IEEE Trans. Inf. Theory 1999 |
Coding theory › channel coding
turbo codes |
0.0 | 1 | 1999 | Multilevel codes: Theoretical concepts and practical design rules · IEEE Trans. Inf. Theory 1999 |
Methods — techniques the papers use, named apart from their topics
random coding exponent · 0.0multiuser information theory · 0.0cutoff rate · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Mutual Information of MIMO Transmission over Correlated Channels with Finite Symbol Alphabets and Link AdaptationabstractIn this paper, results on the mutual information of MIMO transmission over spatially correlated channels in slow fading environments are presented. Different receiver techniques such as optimal maximum likelihood detection, parallel layer detection, successive interference cancellation detection and linear detection are compared. The transmit signals are derived from finite signal alphabets such as M-QAM. Different degrees of adapting the transmit signals to the channel state are taken into account. Results show that the gap between successive interference cancelation and maximum likelihood detection almost vanishes in a 2×2 MIMO transmission setup if link adaptation can be applied, regardless of spatial correlation. Eckhard Ohlmer, Udo Wachsmann, Gerhard P. Fettweis |
GLOBECOM | 2 |
| 1999 | Multilevel codes: Theoretical concepts and practical design rulesabstractThis paper deals with 2/sup l/-ary transmission using multilevel coding (MLC) and multistage decoding (MSD). The known result that MLC and MSD suffice to approach capacity if the rates at each level are appropriately chosen is reviewed. Using multiuser information theory, it is shown that there is a large space of rate combinations such that MLC and full maximum-likelihood decoding (MLD) can approach capacity. It is noted that multilevel codes designed according to the traditional balanced distance rule tend to fall in the latter category and, therefore, require the huge complexity of MLD. The capacity rule, the balanced distances rules, and two other rules based on the random coding exponent and cutoff rate are compared and contrasted for practical design. Simulation results using multilevel binary turbo codes show that capacity can in fact be closely approached at high bandwidth efficiencies. Moreover, topics relevant in practical applications such as signal set labeling, dimensionality of the constituent constellation, and hard-decision decoding are emphasized. Bit interleaved coded modulation, proposed by Caire et al. (see ibid., vol.44, p.927-46, 1998), is reviewed in the context of MLC. Finally, the combination of signal shaping and coding is discussed. Significant shaping gains are achievable in practice only if these design rules are taken into account. Udo Wachsmann, Robert F. H. Fischer, Johannes B. Huber |
IEEE Trans. Inf. Theory | 1 |