Events Calendar

Opportunistic Spectrum Access via Dynamic Resource Allocation

Mingyan Liu
Electrical Engineering and Computer Science
University of Michigan Abstract:
Recent advances in software defined radio and cognitive radio have given
wireless devices the ability and opportunity to dynamically access
spectrum, thereby potentially significantly improving spectrum efficiency
and user performance. With this opportunity comes the challenge of
effective resource allocation between probing/sensing channels to find out
their availability and quality, and deciding which channels to use for
data transmission.
In this talk we will discuss some of the unique technical constraints
imposed by dynamic and opportunistic spectrum access, and their
implications on mathematical modeling. We then present two specific
formulations within such a multi-channel dynamic access context, one using
a stochastic optimization framework and the other using a competitive
analysis framework, respectively. We will show the structural properties
of the optimal policies obtained using such formulations along with
numerical results.
Bio:
Mingyan Liu is an Associate Professor in EECS at the University of
Michigan. She received her Ph.D. degree from the University of Maryland,
College Park in 2000. Her research interests are in performance modeling,
analysis, energy-efficiency, and resource allocation issues in cognitive
radio networks, wireless mobile ad-hoc networks, wireless sensor networks,
and terrestrial satellite hybrid networks. She was the recipient of a 2002
NSF CAREER Award and the University of Michigan Elizabeth C. Crosby
Research Award in 2003.
Host: Bhaskar Krishnamachari ext:12528 bkrishna@usc.edu

Location: Frank R. Seaver Science Center (SSC) - 319

Audiences: Everyone Is Invited

Contact: B.Krishnamachari