The goal of this research is to examine the effective use of multiple receive
and multiple transmit antennas for providing reliable and high data rate digital
wireless communication services for both pedestrian and mobile domains.
The wireless communication industry has experienced rapid growth in recent years,
and digital cellular systems are currently being designed to provide very high speed
multimedia services, such as voice, internet access and video conferencing and
provide access speeds ranging from a few hundred kbits/s for full mobility users up
to 2 Mbits/s for low mobility users. Multimedia and computer communications are
expected to play an increasing role in the society at large, making reliable high
data rate wireless communication of extreme importance. Achieving such high data
rates in radio channels that are inherently limited by multipath and fading is a
challenging task.
Efficient temporal processing, such as advanced source coding, channel coding,
modulation, equalization, and detection techniques, can help alleviate this problem.
However, more dramatic improvements may be achieved by exploiting the spatial degree
of freedom offered by multiple antennas. The spatial degree of freedom offered by
multiple antennas provides unique opportunities for enhancing link reliability, for
interference suppression, for supporting high data rates, for lowering handset power
consumption, and for increasing basestation coverage. The goal of this project is to
realize the promise of multiple-antenna technology and to enable future broadband
wireless communication services. To this end, this research will include design
issues related to developing robust receivers for improving the reverse link (user
to basestation), transmit techniques to improve the reliability of the the forward
link (basestation to user), and coding and decoding techniques for multi-input
multi-output (MIMO) systems for reliable broadband communication.
This project involves a comprehensive study of the use of multiple receive and
multiple transmit antennas (space-time processing) for supporting the need for
reliable high data rate communication services of the future. Achieving such high
data rates in radio channels that are inherently limited by multipath and fading is
a challenging task. The spatial degree of freedom offered by multiple antennas
provides unique opportunities for enhancing link reliability, for interference
suppression, for supporting high data rates, for lowering handset power consumption,
and for increasing basestation coverage. Hence, the goal of this project is to
develop effective space-time processing methods to realize the potential of
multiple-antenna technology.
To realize the promise of multiple antenna technology, this research will include
issues related to developing robust receivers for improving the reverse link (user
to basestation), transmit techniques to improve the reliability of the forward link
(basestation to user), and coding and decoding techniques for multi-input
multi-output (MIMO) systems for reliable broadband communications. On the reverse
link, use of an antenna array based receiver can provide for antenna gain,
diversity gain, and interference suppression. Design of robust receivers and their
performance evaluation is a subject of this study. Of particular interest are
receiver design for low signal to noise ratio and high mobility conditions. In the
forward link, the use of multiple transmit antennas can improve the quality of the
communication channel. In this context our plan considers space-time coding
techniques, and transmit diversity techniques with and without feedback. In the MIMO
context, we examine coding and decoding techniques that can reliably support high
data rates through spatial multiplexing. Also considered in this project is the
analysis of adaptive algorithms which play an important role in dealing with
mobility.
The following CWC faculty are participating in this research project: Bhaskar Rao(lead PI),
Elias Masry, Larry Milstein, John Proakis, Paul Siegel, Ken Zeger, and Jim Zeidler.
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