Optimizing the Performance of Video Streaming in Wireless Networks with Varying Capacity
Date Issued
2009
Date
2009
Author(s)
Lee, Chun-Wei
Abstract
In recent years, thanks for the deployment of wireless broadband networks, video streaming becomes a popular application.owever, due to the unstable characteristics of the wireless network, the fluctuation of channel capacity impacts the qualityf video streaming.rom the perspective of the video streaming system, techniques used for addressing the problem of capacity variation can be classified as codec-based and network-based techniques.odec-based techniques adapt to capacity variation by adjusting video encoding algorithms and parameters.etwork-based techniques use different transmission methods to adapt to capacity variation.onventionally, these two classes of techniques have been designed and evaluated separately without consideration of each other.he lack of fair performance comparison of individual techniques makes it difficult to explore their performanceradeoffs and the optimal strategy for using these two classes of techniques at the same time.ence, in this thesis, we proposed a unified optimization framework to address this problem.nder this framework, we first model codec-based and network-based techniques as sub-stream control and transmission control mechanisms.e then analyze and compare the performance of sub-stream control and transmission control mechanisms when they areperated in capacity-varying scenarios.ub-stream control mechanisms reduce the distortion when the capacity is low, but they cannot use the capacity efficiently because they use baseline transmission.ransmission control mechanisms adapt transmission time or frame rate so they can use capacity more efficiently.owever, they cannot perform optimally due to the single sub-stream coding and the limited play-out buffer size.inally, we consider the joint optimization of sub-stream control and transmission control and analyze the performance benefits of joint optimization.he optimization results show that joint optimization of sub-stream control and transmission control indeed has performance benefits in capacity-varying wireless networks.
Subjects
optimization
varying-capacity
video streaming
sub-stream control
transmission control
Type
thesis
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