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The goal of this research is to develop MIMO wireless communication systems
for providing reliable and high data rate digital wireless communication
services for both pedestrian and mobile domains.
This research is concerned with enhancing capacity and quality of wireless
communication networks using Multiple-Input, Multiple-Output (MIMO) systems,
i.e. systems with multiple transmit and receive antennas. Wireless
communications has permeated nearly all facets of human life e.g. home, office,
car etc. with the future goal being broadband access and services being
available seamlessly virtually everywhere. From a user perspective, this trend
of increased use of wireless technology is going to continue because of the
convenience, flexibility, and enhanced productivity they offer. From a technical
perspective, the trend is towards higher and higher data rates with continued
need for higher quality of services. Fourth generation systems are envisioned to
support high mobility and bit rates greater than 5 Mbits/sec. Also broadband
wireless local loop systems are envisioned to support data rates ranging from 2
Mbits/sec to 155 Mbits/sec.
Achieving such high data rates in band-limited radio channels that are further
limited by multipath and fading, is a challenging task. Multiple-Input, Multiple
Output (MIMO) wireless communication systems have many attractive and often
unique features such as array gain, interference suppression/avoidance
capability, diversity gain, and spatial multiplexing that hold considerable
promise in addressing the enhanced link reliability, and high data rates
required of future systems. To realize the potential of MIMO wireless systems,
this research examines important issues in a) Channel estimation and
equalization, an essential element of robust receiver design, b) Space-Time
Coding, an essential element for realizing the high capacity feature of MIMO
systems, and c) Networking issues in ad-hoc networks employing multiple antennas
to realize versatile and enhanced capacity wireless systems as well as
development of cooperative multi-user modulation strategies.
This research is concerned with enhancing capacity and quality of wireless
communication networks using Multiple-Input, Multiple-Output (MIMO) systems,
i.e. systems with multiple transmit and receive antennas. From a user
perspective, this trend of increased used of wireless technology is going to
continue because of the convenience, flexibility, and enhanced productivity they
offer. From a technical perspective, the trend is towards higher and higher data
rates with continued need for higher quality of services.
Achieving such high data rates in band-limited radio channels that are limited
by multipath and fading, is a challenging task. Multiple-Input, Multiple Output
(MIMO) wireless communication systems have many attractive and often unique
features such as array gain, interference suppression/avoidance capability,
diversity gain and spatial multiplexing that hold considerable promise in
addressing the enhanced link reliability, and high data rates of future systems.
To realize the potential of MIMO wireless systems, this research examines
important issues in channel estimation and equalization, space-time coding, and
networking. An important problem in MIMO wireless communication is the problem
of channel estimation and equalization. This problem is complicated by the fact
that one has to determine a matrix transfer function which involves a
significantly larger number of parameters than single input single output (SISO)
systems and at potentially lower signal to noise ratios. So efficient methods
for channel estimation and equalization are required and the development of
robust blind and semi-blind techniques for this purpose is one of the goals of
this research. To realize the potential capacity offered by MIMO systems, one is
faced with the choice of using feedback based methods or techniques that involve
no feedback. Non feedback techniques such as space-time coding avoid the
overheads associated with feedback and are particularly attractive in highly
mobile environments. Development of space-time coding techniques taking into
account implementation issues will also be a subject of this research.
Technological advances in mobile computing, power efficient electronics and
wireless communication have resulted in new opportunities in mobile ad-hoc
networks that complement or supplant the capabilities provided by fixed cellular
networks. The term ad-hoc network is used to describe an autonomous system of
wireless, usually mobile, nodes that communicate via a shared medium, with no
need for a centralized authority. In this research, we will also examine the use
of space-time processing in ad-hoc networks and evaluate some of the comparative
advantages in fixed cellular and mobile ad-hoc networks. Also of interest are
development and analysis of cooperative multi-user modulation schemes.
The following CWC faculty are participating in this research project: Bhaskar Rao(lead PI),
Elias Masry, Truong Nguyen, and James Zeidler.
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Affiliated Faculty
CoRe Research Projects