EDBT 2026 Demo / reviewers in the wild / expert
Giovanni De Carolis
dblp:301/0899
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2001
0000-0003-4107-5511ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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 |
Network performance modeling · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network performance modeling › loss systems
call blocking probability |
0.0 | 1 | 2001 | Efficient estimation of call blocking probabilities in cellular mobile telephony networks with customer retrials · IEEE J. Sel. Areas Commun. 2001 |
Performance modeling and evaluation › markov models
markovian analysis |
0.0 | 1 | 2001 | Efficient estimation of call blocking probabilities in cellular mobile telephony networks with customer retrials · IEEE J. Sel. Areas Commun. 2001 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.1markovian model · 0.1approximate analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Efficient estimation of call blocking probabilities in cellular mobile telephony networks with customer retrialsabstractA novel approximate technique is proposed for the estimation of call blocking probabilities in cellular mobile telephony networks where call blocking triggers customer retrials. The approximate analysis technique is based on Markovian models with state spaces whose cardinalities are proportional to the maximum number of calls that can be simultaneously in progress within cells. The accuracy of the approximate technique is assessed by comparison against results of detailed simulation experiments, results of a previously proposed Markovian analysis approach, and upper and lower bounds to the call blocking probability. Numerical results show that the proposed approximate technique is very accurate, in spite of the remarkably small state spaces of the Markovian models. Marco Ajmone Marsan, Giovanni De Carolis, Emilio Leonardi, Renato Lo Cigno, Michela Meo |
IEEE J. Sel. Areas Commun. | 2 |
| 2000 | Approximate Markovian Models of Cellular Mobile Telephone Networks with Customer RetrialsabstractA novel approximate technique is proposed for the estimation of call blocking probabilities in cellular mobile telephone networks where call blocking triggers customer retrials. The approximate analysis technique is based on Markovian models with state spaces whose cardinalities are proportional to the maximum number of calls that can be simultaneously in progress within cells. The accuracy of the approximate technique is assessed by comparison against results of detailed simulation experiments. Numerical results show that the proposed approximate technique is very accurate, in spite of the remarkably small state spaces of the Markovian models. Marco Ajmone Marsan, Giovanni De Carolis, Emilio Leonardi, Renato Lo Cigno, Michela Meo |
ICC (1) | 2 |