Title :
Kalman filter estimation of the number of competing terminals in IEEE802.11 network based on the modified Markov model
Author :
Zheng, Yi ; Ning, Fan ; Gao, Feng ; Xu, Qianxin ; Gao, Zehua
Author_Institution :
Key Lab. of UWC, Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
It is of great significance to estimate the number of competing terminals in IEEE802.11 network precisely and timely. If the best contention window and the switching threshold of the basic mode and the RTS/CTS mode in DCF mechanism is set automatically according to the number of terminals, network throughput performance can be greatly optimized. At the meantime, the estimation of competing terminals in different cells is conductive to allocate resource rationally. A new modified Markov model is proposed in this paper to clarify the DCF mechanism in saturated condition and the Extended Kalman Filter is used to track the competing terminals. The results from simulation show that our modified Markov model for the network can estimate the number of competing terminals accurately.
Keywords :
Kalman filters; Markov processes; wireless LAN; DCF mechanism; IEEE802.11 network; RTS-CTS mode; contention window; extended Kalman filter estimation; modified Markov model; network throughput performance; switching threshold; Kalman filters; Mathematical model; DCF mechanism; IEEE802.11; Kalman Filter; Markov Model; competing terminals estimation;
Conference_Titel :
Broadband Network and Multimedia Technology (IC-BNMT), 2010 3rd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6769-3
DOI :
10.1109/ICBNMT.2010.5705128
