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Paola Laface

dblp:27/6842 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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
Network performance modeling · 61% Cellular and mobile networks · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › mobile networks › mobile network architecture › cellular network architecture
GPRS
0.012003
Packet Delay Analysis in GPRS Systems · INFOCOM 2003
Network performance modeling › delay analysis
packet delay analysis
0.012003
Packet Delay Analysis in GPRS Systems · INFOCOM 2003
Network performance modeling › queueing analysis
queueing models of computer systems
0.012003
Packet Delay Analysis in GPRS Systems · INFOCOM 2003
Cellular and mobile networks › mobile networks
GSM
0.012003
Packet Delay Analysis in GPRS Systems · INFOCOM 2003

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

simulation · 0.0analytical modeling · 0.0
YearPublicationVenuePosition
2003 Packet Delay Analysis in GPRS Systems
abstract
In this paper we describe an analytical model to compute the packet delay distribution in a cell of a wireless network operating according to the GSM/GPRS standard. GSM (Global System for Mobile communications) is the most widely deployed wireless telephony standard, and GPRS (Generalized Packet Radio Service) is the technology that is now available to integrate packet data services into GSM networks. By comparing the performance estimates produced by the analytical model against those generated by detailed simulation experiments, we show that the proposed modeling technique is quite accurate. In addition, we show that the results produced by the analytical model are extremely useful in the design and planning of a wireless voice and data network.
Marco Ajmone Marsan, Paola Laface, Michela Meo
INFOCOM2