Performance evaluation of 802.11 WLAN in a real indoor environment

Performance evaluation of wired networks is a well-known problem and many works consider the performance evaluation of wireless networks as the same problem. Compared to wired networks, wireless networks suffer from the shadow effect and Rayleigh fading which makes its performances difficult to predict. Most of the existing performance stochastic models assume that the radio channel is ideal, and as a result, do not consider the radio environment and the interferences. However, we find that deploying a real wireless LAN (especially indoor WLAN) in different environments leads to quite different performance results. We propose in this paper a method integrating radio characterizations in an analytical performance model. Taking advantage of our model, we are able to predict the performance of a wireless network (throughput, global capacity, etc.) of an indoor 802.11b WLAN, whose radio planning chart is known (through radio planning tool WILDE). We also analyze some special scenarios: network with more than one access point and the hidden terminals problem

[1]  Ashok K. Agrawala,et al.  Packet error model for the IEEE 802.11 MAC protocol , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[2]  J. Gorce,et al.  Assessment of a new indoor propagation prediction method based on a multi-resolution algorithm , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[3]  Reinhard German,et al.  Performance modeling of IEEE 802.11 wireless LANs with stochastic Petri nets , 2001, Perform. Evaluation.

[4]  Deepinder Sidhu.  Performance Analysis of the IEEE 802.11 Wireless LAN Standard , 1999 .

[5]  Sandeep K. S. Gupta,et al.  Performance evaluation of distributed co-ordination function for IEEE 802.11 wireless LAN protocol in presence of mobile and hidden terminals , 1999, MASCOTS '99. Proceedings of the Seventh International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

[6]  Haitao Wu,et al.  Performance of reliable transport protocol over IEEE 802.11 wireless LAN: analysis and enhancement , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[7]  Hongqiang Zhai,et al.  Performance of wireless LANs based on IEEE 802.11 MAC protocols , 2003, 14th IEEE Proceedings on Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003..

[8]  Martin Heusse,et al.  Performance anomaly of 802.11b , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[9]  Marco Conti,et al.  IEEE 802.11 wireless LAN: capacity analysis and protocol enhancement , 1998, Proceedings. IEEE INFOCOM '98, the Conference on Computer Communications. Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies. Gateway to the 21st Century (Cat. No.98.

[10]  A. Jayasuriya,et al.  Performance Analysis of the IEEE 802.11 DCF , 2005, 2005 Asia-Pacific Conference on Communications.

[11]  Hamid Aghvami,et al.  Throughput analysis for wireless multi-hop CSMA , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[12]  K. Runser,et al.  AN ADAPTIVE MULTI-RESOLUTION ALGORITHM FOR 2D SIMULATIONS OF INDOOR PROPAGATION , 2003 .

[13]  V. Vitsas,et al.  Throughput and delay analysis of IEEE 802.11 protocol , 2002, Proceedings 3rd IEEE International Workshop on System-on-Chip for Real-Time Applications.

[14]  F. Gebali,et al.  Performance Analysis of the IEEE 802.11 DCF , 2007, 2007 IEEE International Symposium on Signal Processing and Information Technology.