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Martin Guntermann

dblp:11/1711 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1997
—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
Cellular and mobile networks · 56% Network performance modeling · 44%

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

TopicWeightPapersLastEvidence papers
Cellular and mobile networks › telephone network
intelligent network
0.011997
Future Systems for Personal Mobility Services: Design, Performance Evaluation, and Implementation · IEEE J. Sel. Areas Commun. 1997
Network performance modeling
queueing analysis
0.011997
Future Systems for Personal Mobility Services: Design, Performance Evaluation, and Implementation · IEEE J. Sel. Areas Commun. 1997

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

simulation · 0.0queuing model · 0.0
YearPublicationVenuePosition
1997 Future Systems for Personal Mobility Services: Design, Performance Evaluation, and Implementation
abstract
The intelligent network (IN) is a worldwide concept which specifies the functions, interfaces, and service-independent building blocks for the implementation of value-added services in digital telecommunication networks. One example is UPT (universal personal telecommunication), a service for fixed network mobility, which is presently being standardized. This paper describes the evaluation and implementation of an advanced UPT service, which allows a reachability control for ISDN based on the signaling system no. 7 (SS.7) and the intelligent network, which depends on the user's present social role (work, meeting, travel, vacation, etc.). The paper applies models of the users' communication habits, the components, and network services, develops simulation and queuing models for the traffic analysis and evaluation; and determines the call setup time for the new services as well as the quantitative load on the signaling network. Different scenarios for the distribution of the functionality of the intelligent network are studied. Two prototypes of the advanced UPT service are described: an integrated implementation placed in the network, and a standalone implementation outside the network. These prototypes have been displayed at several conferences and fairs. Services of this type are of interest in view of new competitive value-added services.
Carmelita Görg, Martin Guntermann, Stephan Kleier
IEEE J. Sel. Areas Commun.2