DocumentCode :
1189159
Title :
Traffic models for wireless communication networks
Author :
Leung, Kin K. ; Massey, William A. ; Whitt, Ward
Author_Institution :
AT&T Bell Labs., Holmdel, NJ, USA
Volume :
12
Issue :
8
fYear :
1994
fDate :
10/1/1994 12:00:00 AM
Firstpage :
1353
Lastpage :
1364
Abstract :
Introduces a deterministic fluid model and two stochastic traffic models for wireless networks. The setting is a highway with multiple entrances and exits. Vehicles are classified as calling or noncalling, depending upon whether or not they have calls in progress. The main interest is in the calling vehicles; but noncalling vehicles are important because they can become calling vehicles if they initiate (place or receive) a call. The deterministic model ignores the behavior of individual vehicles and treats them as a continuous fluid, whereas the stochastic traffic models consider the random behavior of each vehicle. However, all three models use the same two coupled partial differential equations (PDEs) or ordinary differential equations (ODEs) to describe the evolution of the system. The call density and call handoff rate (or their expected values in the stochastic models) are readily computable by solving these equations. Since no capacity constraints are imposed in the models, these computed quantities can be regarded as offered traffic loads. The models complement each other, because the fluid model can be extended to include additional features such as capacity constraints and the interdependence between velocity and vehicular density, while the stochastic traffic model can provide probability distributions. Numerical examples are presented to illustrate how the models can be used to investigate various aspects of time and space dynamics in wireless networks
Keywords :
Markov processes; mobile radio systems; partial differential equations; road vehicles; telecommunication traffic; call density; call handoff rate; calling vehicles; coupled partial differential equations; deterministic fluid model; highway; noncalling vehicle; offered traffic loads; ordinary differential equations; probability distribution; random behavior; space dynamics; stochastic traffic model; time dynamics; vehicular density; velocity; wireless communication networks; Differential equations; Load modeling; Partial differential equations; Road transportation; Stochastic processes; Telecommunication traffic; Traffic control; Vehicles; Wireless communication; Wireless networks;
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/49.329340
Filename :
329340
Link To Document :
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