Performance analysis for data service in third generation mobile telecommunication networks

The data traffic in wireless networks for the third generation (3G) mobile telecommunication systems should take into account a variety of services (voice, data, video) and environments (e.g.: private, outdoors, indoors) as well as the user mobility behavior. A good evaluation of measures of performance can help a system designer to make strategic decisions concerning cell size and the number of channel frequencies allocated to each cell. We present an analysis of data services in third generation mobile telecommunication networks based on simulation. In addition, we illustrate the need for a simulation in order to characterize the mix of several traffic types for capacity and quality of service (QoS) planning. We use the distributions heavy tailed Weibull and Pareto to simulate respectively, the data traffic and the resource occupation time for data service. Finally, we also comment on some simulation results of third generation services where we analyze the QoS parameters of a mobile network, such as channel occupation time, handoff, new call blocking probabilities and traffic in Erlangs.

[1]  K. Sigman,et al.  Sampling at subexponential times, with queueing applications , 1999 .

[2]  Walter Willinger,et al.  Experimental queueing analysis with long-range dependent packet traffic , 1996, TNET.

[3]  S. Resnick.  Heavy tail modeling and teletraffic data: special invited paper , 1997 .

[4]  Pradeep Ramakrishnan.  Self-Similar Traffic Models , 1999 .

[5]  Juha Rapeli,et al.  UMTS: targets, system concept, and standardization in a global framework , 1995, IEEE Wirel. Commun..

[6]  Walter Willinger,et al.  On the Self-Similar Nature of Ethernet Traffic ( extended version ) , 1995 .

[7]  Geraldo Robson Mateus,et al.  Traffic Simulation and the Location of Mobile Units in Wireless Communication Systems , 1999, LANOMS.

[8]  Ray Jain,et al.  The art of computer systems performance analysis - techniques for experimental design, measurement, simulation, and modeling , 1991, Wiley professional computing.

[9]  Martin Middendorf,et al.  Manhattan Channel Routing is NP-complete Under Truly Restricted Settings , 1996, Chic. J. Theor. Comput. Sci..

[10]  Stephen S. Rappaport,et al.  Traffic Model and Performance Analysis for Cellular Mobile Radio Telephone Systems with Prioritized and Nonprioritized Handoff Procedures - Version 2a , 2000 .

[11]  Raj Jain,et al.  The art of computer systems performance analysis - techniques for experimental design, measurement, simulation, and modeling , 1991, Wiley professional computing.

[12]  Stephen S. Rappaport,et al.  Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures , 1986, IEEE Transactions on Vehicular Technology.

[13]  George L. Lyberopoulos,et al.  Traffic model for third generation cellular mobile telecommunication systems , 1998, Wirel. Networks.

[14]  Walter Willinger,et al.  Statistical analysis of CCSN/SS7 traffic data from working CCS subnetworks , 1994, IEEE J. Sel. Areas Commun..

[15]  Walter Willinger,et al.  Long-range dependence in variable-bit-rate video traffic , 1995, IEEE Trans. Commun..

[16]  Thomas Kunz,et al.  WAP traffic: description and comparison to WWW traffic , 2000, MSWIM '00.

[17]  A. Samukic.  UMTS universal mobile telecommunications system: development of standards for the third generation , 1998 .

[18]  Walter Willinger,et al.  On the self-similar nature of Ethernet traffic , 1993, SIGCOMM '93.

[19]  R.A. Guerin,et al.  Channel occupancy time distribution in a cellular radio system , 1987, IEEE Transactions on Vehicular Technology.

[20]  A. Samukic,et al.  UMTS Universal Mobile Telecommunications System: development of standards for the third generation , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).

[21]  Lester Lipsky,et al.  The Importance of Power-tail Distributions for Telecommunication Traffic Models , 1995 .

[22]  S. Agmon.  The Relaxation Method for Linear Inequalities , 1954, Canadian Journal of Mathematics.

[23]  Masami Yabusaki,et al.  IMT-2000 standards: network aspects , 1997, IEEE Wirel. Commun..

[24]  X. Zhou.  Cellular Data Traffic: Analysis, Models, and Scenarios , 2000 .

[25]  Moshe Sidi,et al.  New call blocking versus handoff blocking in cellular networks , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.

[26]  Ljiljana Trajkovic,et al.  Impact of self-similarity on wireless data network performance , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[27]  Azer Bestavros,et al.  Self-similarity in World Wide Web traffic: evidence and possible causes , 1996, SIGMETRICS '96.

[28]  Claudia Klüppelberg,et al.  Telecommunication traffic, queueing models, and subexponential distributions , 1999, Queueing Syst. Theory Appl..

[29]  Geraldo Robson Mateus,et al.  A comparison between location updates and location area paging for mobile unit tracking simulation in wireless communication systems , 1999, DIALM '99.

[30]  Bijan Jabbari.  Teletraffic aspects of evolving and next-generation wireless communication networks , 1996, IEEE Wirel. Commun..

[31]  Geraldo Robson Mateus,et al.  Performance analysis for data service in third generation mobile telecommunication networks , 2003 .

[32]  Amotz Bar-Noy,et al.  Tracking mobile users in wireless communications networks , 1993, IEEE Trans. Inf. Theory.