Results 191 to 200 of about 91,573 (248)

Effect of Traffic Shifts on the Economics of Telecommunication Competition

2007 IEEE International Conference on Communications, 2007
We consider a telecommunication competition model involving an incumbent and one or more new entrants who only choose to serve the most profitable traffic. The contribution of this paper is a new analysis that studies the effect of traffic shifts, which are common in the Internet era, on the distribution of market share.
Jayant Baliga, Andrew Zalesky, Moshe Zukerman   +2 more
exaly   +2 more sources

Comprehensive Topology and Traffic Model of a Nationwide Telecommunication Network

Journal of Optical Communications and Networking, 2014
As a basis for meaningful simulation and optimization efforts with regard to traffic engineering or energy consumption in telecommunication networks, suitable models are indispensable. This concerns not only realistic network topologies but also models for the geographical distribution and the temporal dynamics of traffic, as well as the assumptions on
Andreas Betker, Inken Gamrath, Dirk Kosiankowski, Christoph Lange 0004, Heiko Lehmann, Frank Pfeuffer, Felix Simon, Axel Werner   +7 more
exaly   +2 more sources

Traffic modeling for telecommunications networks

IEEE Communications Magazine, 1994
As new communications services evolve, professionals must create better models to predict system performance. The article provides an overview of computer simulation modelling for communication networks, as well as some important related modelling issues.
Victor S. Frost, Benjamin Melamed
openaire   +1 more source

Fuzzy Traffic Management for Modern Telecommunications

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1998
We describe applications of fuzzy logic in the area of broadband telecommunication networks. Call Admission Control (CAC) and Usage Parameter Control (UPC) play an important role in the traffic management of ATM networks (Asynchronous Transfer Mode). We present "fuzzy solutions" for this control tasks and we show their success by presenting simulation
Hans Hellendoorn, Rudolf Seising
openaire   +1 more source

Characterization of Telecommunication Traffic

2020
Telecommunication networks carry traffic between and among sources and destinations. The performance perceived by a user is an important factor in the design of and marketing the services offered by a network. User perceived performance is driven by three major factors: Architecture of the network, resources provided in the network, and characteristics
Pramode Verma, Fan Zhang
openaire   +1 more source

Traffic Models for Telecommunication

1998
Models that describe the traffic on the current (broadband-)integrated-services digital networks are a hot topic in telecommunication. They are relevant for at least the following two reasons: traffic description: It is assumed (at least for some types of networks) that potential users will have to give a traffic description. This will enable the
Dee Denteneer, Verus Pronk
openaire   +1 more source

From Telecommunication to Traffic Distribution

Réseaux. The French journal of communication, 1997
Summary: Telecommunications have undergone profound technological, economic and regulatory changes over the past fifteen years. In particular, the widening range of services provided and the proliferation and interconnection of networks have increasingly dissociated subscribers from traffic on a network.
Gille, Laurent, Motlow, David
openaire   +2 more sources

Traffic aspect of personal telecommunications in intelligent networks

Computer Networks and ISDN Systems, 1994
Abstract This paper evaluates the traffic load for Intelligent Networks nodes and Common Channel Signaling networks (CCS), and it clarifies the impact of traffic on these resources. The main results are that: (i) CCS load is sensitive to the calling rate of personal telecommunications but largely insensitive to the proportion of radio users, the ...
Hiroshi Saito, Takuya Asaka
openaire   +1 more source

Telecommunication Traffic Prediction Based on Improved LSSVM

International Journal of Pattern Recognition and Artificial Intelligence, 2017
Telecommunication traffic prediction is an important aspect of data analysis and processing in communication networks. In this study, we utilize the least-squares support vector machine (LSSVM) prediction method to improve the prediction performance of telecommunication traffic.
Jun-Xia Liu, Zhen-Hong Jia
openaire   +1 more source