THESIS
2014
xiv, 104 pages : illustrations ; 30 cm
Abstract
The demands on Wi-Fi networks, including traffic volume and QoS, are increasing dramatically
due to the transition from PC era to mobile era. It is a big challenge to Wi-Fi
networks as current Wi-Fi control methods render the networks inefficient in congested
networks, while still remaining short in functions such as QoS. Although expanding capacity,
which is the mean under active research, may relieve the pressure, improving the
control methods, which relatively lacks attention, can be a more direct alternative to address
the problem.
In this thesis, two approaches are explored for the purpose of enhancing the control
plane of Wi-Fi. The first approach is cross-layer optimization by leveraging physical layer
innovations. This approach is possible to study because of the recent...[
Read more ]
The demands on Wi-Fi networks, including traffic volume and QoS, are increasing dramatically
due to the transition from PC era to mobile era. It is a big challenge to Wi-Fi
networks as current Wi-Fi control methods render the networks inefficient in congested
networks, while still remaining short in functions such as QoS. Although expanding capacity,
which is the mean under active research, may relieve the pressure, improving the
control methods, which relatively lacks attention, can be a more direct alternative to address
the problem.
In this thesis, two approaches are explored for the purpose of enhancing the control
plane of Wi-Fi. The first approach is cross-layer optimization by leveraging physical layer
innovations. This approach is possible to study because of the recent development in software
radio platforms. The study in this thesis also starts from platform development that
a flexible multi-radio platform is described. Based on this novel platform, two ideas on
cross-layer optimization are presented. One of them targets to improve the error control
function by introducing a light-weight narrow-band feedback channel, whereas the other
targets to reduce control overhead by offloading control functions to a decoupled control
channel. The second approach explored is introducing centralized control to current distributed
and asynchronous Wi-Fi control methods. Improvement in QoS is demonstrated
with this approach.
Based on these ideas, four systems are designed, implemented and evaluated. Experimental
results prove feasibility and benefit of these systems.
Post a Comment