Demo Data from VLDB 2026 / reviewers in the wild / expert
Danielle Tibi
dblp:32/4281
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · unresolved
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 architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% | |
| Computer networks
1 paper |
Physical-layer communications · 77% Cellular and mobile networks · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › multiple access
CDMA systems |
0.1 | 1 | 2006 | Metastability of CDMA cellular systems · MobiCom 2006 |
Performance modeling and evaluation › stability analysis
network stability |
0.1 | 1 | 2006 | Metastability of CDMA cellular systems · MobiCom 2006 |
Performance modeling and evaluation
queueing models |
0.1 | 1 | 2006 | Metastability of CDMA cellular systems · MobiCom 2006 |
Cellular and mobile networks
radio resource management |
0.0 | 1 | 2006 | Metastability of CDMA cellular systems · MobiCom 2006 |
Methods — techniques the papers use, named apart from their topics
queueing analysis · 0.1mathematical modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Metastability of CDMA cellular systemsabstractIn this paper, it is shown that the coexistence of a variety of different traffics in third generation cellular networks may lead to a very undesirable behavior of the whole network: a metastability property. When this property holds, the state of the network fluctuates on a very long time scale between different set of states. These long oscillations of the network make impossible to predict the average performances of some of the key characteristics of the connections, such as the handoff blocking rate or the probability of call blocking. As a consequence, the quality of service provided by such a network can be guaranteed only by, sometimes poor, lower bounds. Experiments of a UMTS network with this behavior are presented and the analysis of a corresponding simplified mathematical model is developed. The practical implications in the design of radio resource management for CDMA cellular networks are discussed. Nelson Antunes, Christine Fricker, Philippe Robert, Danielle Tibi |
MobiCom | 4 |