Demo Data from EDBT 2026 / reviewers in the wild / expert
Pirmin Heinzer
dblp:75/11342
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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.
| Computer networks
1 paper |
Wireless networking · 81% Physical-layer communications · 19% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking › wireless link › wireless link characterization
link quality estimation |
0.1 | 1 | 2012 | Fast and accurate packet delivery estimation based on DSSS chip errors · INFOCOM 2012 |
Physical-layer communications › spread spectrum
direct-sequence spread spectrum |
0.0 | 1 | 2012 | Fast and accurate packet delivery estimation based on DSSS chip errors · INFOCOM 2012 |
Wireless networking › wireless personal area network
IEEE 802.15.4 |
0.0 | 1 | 2012 | Fast and accurate packet delivery estimation based on DSSS chip errors · INFOCOM 2012 |
Methods — techniques the papers use, named apart from their topics
software-defined radio experimentation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Fast and accurate packet delivery estimation based on DSSS chip errorsabstractFast and accurate link quality estimation is an important feature for wireless protocols such as routing, rate switching or handover. Existing signal strength based estimators tend to be fast but inaccurate while packet statistic based approaches are more accurate but require longer estimation times. We propose a new link quality estimation approach based on chip errors in symbols for direct sequence spread spectrum transceivers. The new link quality estimator is evaluated experimentally with software defined radios on IEEE 802.15.4 for different link conditions, including multi-path and mobile scenarios. We show that our chip error based link quality estimator performs more accurately than received signal strength based estimators and much faster than the packet statistic based estimators with comparable accuracy. With our approach, only a single packet, or even a fraction of a packet (e.g., only a few symbols), is necessary to obtain similar performance as state-of-the-art approaches that require at least 10 packets. Pirmin Heinzer, Vincent Lenders, Franck Legendre |
INFOCOM | 1 |