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Electrical and Computer Engineering Seminar: Distributed Adaptive Wireless Network Performance Optimization
Friday, February 17, 2006 - 2:00pm to Friday, February 17, 2006 - 3:00pm

The Department of Electrical and Computer Engineering (ECE) at PSU's Maseeh College of Engineering and Computer Science presents as part of the ECE507 Seminar Winter 2006 Series: Distributed Adaptive Wireless Network Performance Optimization.

 
Title: "Distributed Adaptive Wireless network Performance Optimization"

Speaker: Emily Hong Qi, Ph.D., Electrical and Computer Engineering Ph.D. Student

Date: February 17, 2006

Time: 2:00 - 3:00 p.m.

Location: 102EB, Fariborz Maseeh Auditorium, New Engineering Building, 1930 SW Fourth Avenue, Portland, Oregon 97201 (E-10 on map)

This series is free and open to the public. For further information, contact the Department of Electrical and Computer Engineering, (503) 725-3806 or info@ece.pdx.edu.

For more information on upcoming seminars, please visit the Department Web site: http://www.ece.pdx.edu/ece.507.graduate.seminar.schedule/current.htm

Abstract:

In Wireless Local Access Network (WLAN), the Medium Access Control (MAC) protocol is the primary element that determines the efficiency of sharing the limited communication bandwidth of the wireless channel. IEEE 802.11 MAC uses the contention-based Distributed Cooperation Function (DCF) as a fundamental medium access mechanism. However, the dynamic nature of the wireless environment creates user challenges of maintaining maximum channel capacity and of obtaining optimal throughput in a distributed wireless network.

In order to address these challenges and optimize distributed wireless network performance, a set of parameters that characterizing the medium status and radio environment, a distributed adaptive wireless architecture, and two adaptive algorithms are proposed in my research work. The adaptive algorithms allows wireless device to optimize and adjust its configuration parameters based on the characteristics of the environment. Radio resource measurement and control enables Access Point and mobile device collaboration and improvement in the overall wireless network performance by justifying the dynamic wireless environment. Forgery and confidentiality are major concerns for distributed radio resource measurement and wireless network management and control. Thus, the research work concludes with an analysis of security threats to radio resource measurement and control, and proposes an action frame protection scheme to ensure a secure distributed adaptive wireless network performance optimization.