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Uwe Bergemann

dblp:133/3821 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer 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.

Computer networks
1 paper
Wireless networking · 87% Network measurement and analytics · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › link adaptation
rate adaptation
0.212013
DARA: Estimating the behavior of data rate adaptation algorithms in WLAN hotspots · INFOCOM 2013
Wireless networking
WLAN
0.212013
DARA: Estimating the behavior of data rate adaptation algorithms in WLAN hotspots · INFOCOM 2013

Methods — techniques the papers use, named apart from their topics

simulation · 0.2measurement · 0.2
YearPublicationVenuePosition
2013 DARA: Estimating the behavior of data rate adaptation algorithms in WLAN hotspots
abstract
Data rate adaptation (RA) schemes are the key means by which WLAN adapters adjust their operation to the variable quality of wireless channels. The IEEE 802.11 standard does not specify any RA preferences allowing for a competition in performance among vendors, thus numerous proprietary solutions coexist. While the RA schemes implemented in individual user terminals are unknown to the AP of a hotspot, it is well known that the way how individual stations adapt their rates strongly influences the performance of the whole WLAN cell. Therefore, the knowledge of the scheme applied by each station may be useful for the radio resource management in complex networks (e.g., HetNets or dense WLAN deployments in enterprise networks). In this paper, we present a novel approach to estimate the features of the RA schemes implemented in individual stations and demonstrate its efficiency using both simulated WLAN configurations as well as measurements.
Sven Wiethölter, Andreas Ruttor, Uwe Bergemann, Manfred Opper, Adam Wolisz
INFOCOM3