Please note that Dr. Un-Ku Moon's talk has been cancelled.  We have a
talk at 10am today and Wednesday, in Owen 102.  See below for outlines.

Monday
April 25
10:00 - 10:50 AM 
Owen 102
 
Gang Cheng 
Ph.D. Candidate
Electrical Engineering
New Jersey Institute of Technology


Quality-of-Service Provisioning in High Speed Networks: Routing
Perspective 

The continuous growth in both commercial and public network traffic with
various quality-of-service (QoS) requirements is calling for better
service than the Internet's best effort mechanism. One of the
challenging issues is to select feasible paths that satisfy the
different requirements of various applications. This problem is known as
QoS routing. In general, two issues are related to QoS routing: state
distribution and routing strategy. Routing strategy is used to find a
feasible path that meets the QoS requirements. State distribution
addresses the issue of exchanging the state information throughout the
network. In this talk, I will present a novel routing architecture which
consists of two parts: rate-distortion analysis based link state update
and a self-adaptive QoS routing algorithm. 

We first address the issue of updating link state information from the
perspective of information theory. Based on the rate-distortion
analysis, I will present an original scheme, which outperforms the state
of the art in terms of both protocol overhead and accuracy of link state
information. 

QoS routing is NP-complete. Hence, tackling this problem requires
heuristic. A common approach is to convert this problem into a shortest
path problem and solve it with existing algorithms, e.g., Bellman-Ford
and Dijkstra algorithms. However, this approach suffers from either high
computational complexity or low success ratio in finding the feasible
paths. Hence, I will introduce a new problem, All Hops k-shortest path
(AHKP). Based on the solution to AHKP, I will present efficient
self-adaptive routing algorithms, which can guarantee in finding
feasible paths with fairly low average computational complexity. One of
their most distinguished properties is their progressive property, which
is very useful in practice: they can self-adaptively minimize their
computational complexity without sacrificing the performance. 

 
Wednesday
April 27
10:00 - 10:50 AM 
Owen 102
 
Erik Perrins 
Ph.D. Candidate
Electrical and Computer Engineering
Brigham Young University


Shaped-Offset QPSK: An Introduction with Coding Applications 

Shaped Offset QPSK (SOQPSK) is a highly bandwidth-efficient
constant-envelope modulation. It is currently used in satellite and
telemetry communications standards. In addition to its
bandwidth-efficiency, SOQPSK is attractive because it can be demodulated
with a generic symbol-by-symbol OQPSK-type detector. However, this
simple and suboptimum approach does not exploit the inherent memory in
SOQPSK, which is a type of continuous phase modulation (CPM). 

In this work, we develop a CPM signal model that accounts for all the
memory in the SOQPSK system. This model gives an optimal trellis-based
detector for SOQPSK and also allows it to be viewed as a code. We apply
this technique to serially concatenated coding schemes with iterative
detection, where SOQPSK itself constitutes the inner code. A number of
reduced-complexity designs are presented. In particular, it is shown
that all versions of SOQPSK, from the simplest to the most complex, can
be treated with a simple, common architecture.


Biography

Erik Perrins is a graduating PhD student from the Department of
Electrical and Computer Engineering at Brigham Young University. He also
received his BS in 1997 and his MS in 1998 from BYU, both in electrical
engineering. From 1998-2004 he was with the Advanced Technology Group of
Motorola in Schaumburg, IL. Since 2004 he has been an industry
consultant while concurrently finishing his studies at BYU. His research
interests are digital transmission theory, modulation and coding, and
signal processing.
 

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