|
H. Vincent Poor, Ph.D.
Professor of Electrical Engineering and
Dean of the School of Engineering and Applied Science,
Princeton University
Abstract:
A major contemporary issue in the design and deployment
of wireless networks is the dramatic increase in demand
for new capacity and higher performance. The development
of these capabilities is limited severely by the scarcity of the
two principal resources in wireless networks, namely energy
and bandwidth. Much of the capacity growth of the past
two decades has been enabled by major advances in the
wireless physical layer. However, in recent years, attention
has turned increasingly to the higher network layers to
examine interactions among nodes that can lead to even
greater efficiencies in the use of wireless resources. This
talk examines two types of such interactions: competition
among nodes in multiple-access communication networks,
and collaboration among nodes in wireless sensor networks.
In the first context, the network is viewed as an economic
system, in which terminals behave as agents competing
for radio resources to optimize the energy efficiency with
which they transmit messages. A game theoretic formalism
is used to analyze the effects of various design choices and
quality-of-service constraints on energy efficiency. In the
second context, collaborative techniques for optimizing
the use of radio resources in sensor networks are considered.
Here, the focus is primarily on distributed inference, in
which distinctive features of wireless sensor networks
can be exploited through collaboration among nodes to
effect a tradeoff between inferential accuracy and energy
consumption.
Biography:
H. Vincent Poor is the Michael Henry Strater University
Professor of Electrical Engineering and Dean of the
School of Engineering and Applied Science at Princeton
University. His primary research interests are in the area
of wireless networks and related fields. Among his
publications in these areas is the recent book, MIMO
Wireless Communications (Cambridge University Press,
2007), co-authored with Ezio Biglieri, et al.
Dr. Poor is a member of the U.S. National Academy
of Engineering, a Fellow of the American Academy of
Arts & Sciences, and a former Guggenheim Fellow.
He is also a Fellow of the IEEE, the Institute of
Mathematical Statistics, the Optical Society of America, a
nd other scientific and technical organizations. He is a
former President of the IEEE Information Theory Society,
and a former Editor-in-Chief of the IEEE Transactions on
Information Theory. Recent recognition of his work includes
the 2005 IEEE Education Medal and the 2007 IEEE Marconi
Prize Paper Award.
Friday, February 1st at 11 a.m.
Hill Seminar Room 240
Lebow Engr. Center
|
