QoS provisioning in Wi-Fi networks capacity modeling and resource control /
Abstract (Summary)
Hui, Jie. QoS Provisioning in Wi-Fi Networks: Capacity Modeling and Resource
Control. (Under the direction of Professor Michael Devetsikiotis).
The ubiquitous Wireless Fidelity (Wi-Fi) networks, and their increasing quality
of service (QoS) requirements for emerging applications, motivate extensive studies
of QoS provisioning in such networks. Two tasks, namely, capacity modeling and
resource control, are crucial in solving the problem:
A performance model is first needed to predict the network QoS metrics from the
network settings. We propose a new unified analytical model to study the saturation
throughput and delay performance of 802.11e Enhanced Distributed Coordination
Function (EDCA), which is easier to apply than the most current ones. In order to find
usable mathematical models for most cases where analytical models are not feasible,
we first advocate the application of metamodeling techniques to Wi-Fi performance
studies and formulate a general metamodeling framework for such purpose. The
results in three case studies support the validity of our methodology: our saturation
capacity metamodel for 802.11 Distributed Coordination Function (DCF) displays an
interesting log-linear relationship between capacity and number of users; our voice
over Wi-Fi admission capacity metamodel gives a much tighter bound than bounds
existing in the literature; and, finally, our throughput metamodel for a simple ad-hoc
network, for the first time, characterizes the cross-layer effects between MAC and
network layer schedulers. Our work, therefore, points out a new direction for future
performance studies of Wi-Fi networks.
Then, based on the performance models we derive, resource control schemes of
input parameters can be designed to achieve certain level of QoS outputs in some
cases. For example, we are able to design a Weighted Round Robin (WRR) scheduler
at the MAC layer to control the share of the radio resources, by applying our analytical
model to a special case of EDCA configuration. Furthermore, based on our fitted
metamodel for the capacity of voice over Wi-Fi, a more practical admission control
scheme is composed.
QoS Provisioning in Wi-Fi Networks: Capacity Modeling and Resource
Control
by
Jie Hui
A dissertation submitted to the Graduate Faculty of
North Carolina State University
in partial satisfaction of the
requirements for the Degree of
Doctor of Philosophy
Department of Electrical and Computer Engineering
Raleigh
2005
Approved By:
Dr. Arne Nilsson Dr. Steve Roberts
Dr. Michael Devetsikiotis
Chair of Advisory Committee
Dr. Wenye Wang
ii
To my parents for their everlasting unconditional love for me, staying beside me in
this past tough year and supporting me meal by meal;
To my husband for traveling overseas to accompany and support me;
To the light of my life, my dear son Mark. Part of this Ph.D. work was done when
he was inside me and kicking me. The last piece was made when he called his daddy
as mom and cried to his grandparents for milk. Thank him, I appreciate life more.
To my sister, wish her a happy birthday today.
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Biography
Jie Hui was born in Shanxi, China. She received the B.S. degree in Electrical Engineering
from the Xi’an Jiaotong University, Xi’an, China, in 1996, and the M.S.
degree in Electrical Engineering from Institute of Space Electronic Equipment, Shanghai,
China, in 1999. From 2000 to July 2001, she worked with 3G R
&
D center of
ZTE Corp. in Shenzhen China as a system and software engineer. From August
2001 to August 2005, she has been pursuing her Ph.D. degree in Computer Engineering
specializing in wireless networking in the department of Electrical and Computer
Engineering of North Carolina State University. Her research interests include QoS
provisioning for multimedia over Wi-Fi, medium access control, cross-layer control
and optimization, modeling, performance evaluation and efficient simulation of wireless
networks.
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Bibliographical Information:
Advisor:
School:North Carolina State University
School Location:USA - North Carolina
Source Type:Master's Thesis
Keywords:north carolina state university
ISBN:
Date of Publication: