Particle filtering of the number of competing stations to support combined access modes in IEEE 802.11 networks

Jang Sub Kim, Qasim M. Chaudhari, Erchin Serpedin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a new method to estimate the number of competing stations in IEEE 802.11 networks. Due to nonlinear nature of measurement model, a nonlinear filtering algorithm, called the Particle Filter (PF), has been employed. PF provides better alternative to the conventional Extended Kalman Filter (EKF) for nonlinear filtering since it avoids errors associated with linearization, has both high accuracy as well as prompt reactivity to changes in the network occupancy status and specifically gives better results in non-saturated conditions. From this method, we propose the combined access mode to maximize the system throughput by switching between basic access and RTS/CTS access mode.

Original languageEnglish
Title of host publicationISSCS 2007 - International Symposium on Signals, Circuits and Systems, Proceedings
Pages345-348
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2007
Event2007 International Symposium On Signals, Circuits and Systems, ISSCS 2007 - Iasi, Romania
Duration: 12 Jul 200713 Jul 2007

Publication series

NameISSCS 2007 - International Symposium on Signals, Circuits and Systems, Proceedings
Volume2

Other

Other2007 International Symposium On Signals, Circuits and Systems, ISSCS 2007
CountryRomania
CityIasi
Period12/7/0713/7/07

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ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kim, J. S., Chaudhari, Q. M., & Serpedin, E. (2007). Particle filtering of the number of competing stations to support combined access modes in IEEE 802.11 networks. In ISSCS 2007 - International Symposium on Signals, Circuits and Systems, Proceedings (pp. 345-348). [4292733] (ISSCS 2007 - International Symposium on Signals, Circuits and Systems, Proceedings; Vol. 2). https://doi.org/10.1109/ISSCS.2007.4292733