Performance evaluation of mobile wireless networks: a new perspective

We propose a methodology to simplify the analysis of wireless network simulations. Wireless simulation models are plagued by a vast parameter space. Consequently, performance studies are not easy to interpret or compare across different models. We reduce this parameter space by proposing a set of parameters that describe the network at a higher level of abstraction. More specifically, the cornerstone of our approach is the steady state utilization concept which quantifies the inherent capacity of a network to support a particular workload. The steady state utilization of a system is the maximum utilization with zero loss for a given traffic load. We also introduce the steady state arrival rate which is the arrival rate that keeps the network operating at its steady state utilization. Furthermore, we propose an efficient way to evaluate the performance of a network in terms of effective utilization which captures the utilization and the loss at the same time. Effective utilization measures the goodput of the network. Finally, as a case study, we use our methodology to evaluate how advance reservations affect network performance. We show how, contrary to intuition, bandwidth reservations can hurt performance, if we consider dropped calls as lost income.

[1]  Taieb Znati,et al.  A framework for call admission control and QoS support in wireless environments , 1999, IEEE INFOCOM '99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320).

[2]  Suresh Singh,et al.  Maintaining seamless communication between mobile users: An Architecture and Communication Protocol for picocellular networks , 1994, IEEE Personal Communications.

[3]  Satish K. Tripathi,et al.  Using statistical data for reliable mobile communications , 2002, Wirel. Commun. Mob. Comput..

[4]  B. R. Badrinath,et al.  Integrated services packet networks with mobile hosts: Architecture and performance , 1999, Wirel. Networks.

[5]  Suresh Singh,et al.  A network architecture for mobile computing , 1996, Proceedings of IEEE INFOCOM '96. Conference on Computer Communications.

[6]  Sung-Mo Kang,et al.  Real-time prioritized call admission control in a base station scheduler , 2000, WOWMOM '00.

[7]  Deborah Estrin,et al.  Enabling large-scale simulations: selective abstraction approach to the study of multicast protocols , 1998, Proceedings. Sixth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.98TB100247).

[8]  Suresh Singh,et al.  Quality of service guarantees in mobile computing , 1996, Comput. Commun..

[9]  Bo Li,et al.  Analysis of a hybrid cutoff priority scheme for multiple classes of traffic in multimedia wireless networks , 1998, Wirel. Networks.

[10]  Satish Kumar,et al.  Improving Simulation for Network Research , 1999 .

[11]  Raouf Boutaba,et al.  A novel distributed call admission control for wireless mobile multimedia networks , 2000, WOWMOM '00.

[12]  Thomas C. Fall A framework for the simulation experimentation process , 1997, WSC '97.

[13]  Victor C. M. Leung,et al.  Mobility-based predictive call admission control and bandwidth reservation in wireless cellular networks , 2002, Comput. Networks.