TitleCross-layer performance analysis and adaptation for real-time wireless video streaming
NameLoiacono, Michael T. (author), Trappe, Wade (chair), Gruteser, Marco (internal member), Raychaudhuri, Dipankar (internal member), Dana, Kristin (internal member), Rosca, Justinian (outside member), Rutgers University, Graduate School - New Brunswick,
SubjectElectrical and Computer Engineering,
Wireless communication systems
DescriptionThe proliferation of wireless technology, mobile computing, and increasingly sophisticated video codecs have fueled the sharp increase in demand for user and machine-centric applications (such as IPTV, telemedicine, cyber-physical control, and surveillance) involving wireless video streaming. Unfortunately, today's state of the art local wireless technologies, such as IEEE 802.11, can be easily demonstrated to fail when subjected to the conditions associated with many of these real-world applications. This is because wireless video streaming involves complex relationships between the the video codec, the wireless PHY and MAC, and the application's (or user's) sensitivity to distortions in the video signal, and these relationships are not well understood or exploited by today's video streaming systems. In this dissertation, we reveal and analyze several key obstacles to wireless video streaming, and propose a set of adaptive real-time cross-layer approaches to deal with them. The dissertation begins with an overview of the major hurdles to wireless video streaming. A particular focus is on the instability of current link adaptation algorithms in CSMA/CA based wireless systems under the congested scenarios associated with wireless transmission of multiple simultaneous uplink video streams. Additionally, we focus on congestion control with respect to the fairness policies employed by the IEEE 802.11 channel access mechanism, and demonstrate that airtime fairness is preferred to throughput fairness for transmission of multiple simultaneous uplink video streams in a multi-rate environment. Several other obstacles are presented, including: the need for cross-layer approaches in wireless video streaming; problems with the use of MSE and PSNR in existing cross-layer approaches in today's literature; and the difficulty with perceptual, task-based video quality assessment in the context of an adaptive real-time cross-layer video streaming system. After that, we propose several adaptive real-time cross-layer solutions to deal with these obstacles. They include: (i) airtime fair distributed cross-layer congestion control in multi-rate wireless environments; (ii) cross-layer link adaptation for wireless-video; (iii) video quality assessment in adaptive real-time cross-layer video streaming systems; and (iv) joint link adaptation and congestion control driven by user/task-centric resource allocation. We support the proposed algorithms through simulations, theory, and experiments with real wireless devices on which we have implemented our algorithms.
NoteIncludes bibliographical references
Noteby Michael T. Loiacono
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.