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Investigate design issues to support high-bandwidth limited-distance wireless
spaces, across the range of system levels of abstractions, in an integrative
way. Investigate applications that are enabled by high-bandwidth
limited-distance wireless spaces, such as augmented reality, and use them to
drive the design.
We investigate system design issues to support high-bandwidth
limited-distance wireless spaces. Such wireless spaces enable completely new
applications, such as real-time augmented reality where a user equipped with a
wireless light-weight headset can capture stereoscopic video, have the video
streams processed in real-time via powerful grid-based computing systems
embedded in user`s environment, and project before the user`s eyes a more
enhanced feature-highlighted visual field. Given our faculty team that spans a
variety of areas in communications and computing, we take a total top-to-bottom
systems approach by exploring various levels of system abstraction, from the
physical device layer all the way up to middleware system software layer, with a
driving application based on smart visual environments, with the goal of
developing an integrated multi-layer solution.
We investigate system design issues to support high-bandwidth
limited-distance wireless spaces. By high bandwidth, we mean at least 100 Mbps
per user, and in the Gbps range in aggregate. It is in this range that
completely new applications become possible, such as real-time augmented reality
where a user equipped with a wireless light-weight headset can capture
stereoscopic video, have the video streams processed in real-time via powerful
grid-based computing systems embedded in user`s environment, and project before
the user`s eyes a more enhanced feature-highlighted visual field. Given our
faculty team that spans a variety of areas in communications and computing, we
take a total top-to-bottom systems approach by exploring various levels of
system abstraction, from physical devices to high-level middleware, topping off
with a driving application based on smart visual environments, with the goal of
developing an integrated multi-layer solution. Specifically, we will explore
devices that operate in the 60 GHz region of the spectrum aggregation (e.g., via
striping) of multiple physical channels using existing technologies (e.g.,
802.11), routing given a mobile user and multiple attachment points that may or
may not have a priori organization (e.g., ad hoc wireless), middleware that
allows computations to be placed near or move with the user and take advantage
of large numbers of computing nodes that can be integrated on demand, and the
development of a driving application based on vision and rendering systems for
intelligent spaces.
The following CWC faculty are participating in this research project: Joseph Pasquale(lead PI),
Anthony Acampora, Mohan Trivedi, Larry Larson, and Andrew Chien.
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