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Fading Modeling, MIMO Channel Generation, and Spectrum Detection for Wireless Communications
| What |
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| When |
Mar 09, 2009 from 03:00 PM to 05:00 PM |
| Where | Engr IV Room 57-124 |
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Wei-Ho Chung
Advisor: Kung Yao
Monday, March 9, 2009 at 3:00pm-5:00pm
Engr IV Room 57-124
Abstract:
We investigate the fading channel modelling, MIMO channel generation,
and spectrum detection for wireless communications. We propose the
modified hidden semi-Markov model (MHSMM) for modeling the flat fading
envelope process. The MHSMM incorporate the time-variant statistics of
the envelope process in a single model, which facilitates computations
of the envelope probability density function and the autocorrelation
function. We propose and demonstrate the parameter estimation scheme by
simulated and experimental data. Diversity techniques for various
communication and MIMO systems exploit the spatial and temporal
diversity attributes to mitigate the ill effects of the fading channels.
We propose a unified approach capable of generating correlated
flat-fading envelope processes with the desired auto-correlation
functions, cross-correlation functions, and probability density
functions (pdfs). The proposed approach utilizes the Gaussian vector
autoregressive process and the inverse transform sampling techniques.
Comparing to the past research focusing on generating fading channels of
the same family, the novelty of the proposed approach is its capability
to generate fading processes of heterogeneous pdfs.
Sensor networks have been shown to be useful in diverse applications.
One of the important applications is the collaborative detection based
on multiple sensors to increase the detection performance. To exploit
the spectrum holes in the cognitive radios, we consider the
collaborative spectrum sensing by sensor networks in the likelihood
ratio test (LRT) frameworks. We provide explicit algorithms to solve the
LRT fusion rules, the probability of false alarm, and the probability
of detection for the fusion center. We will discuss the single-sensor
detection and collaborative detections of multiple sensors under various
fading channels.
Biography:
Wei-Ho Chung was born in Kaohsiung, Taiwan, in 1978. He received the
B.Sc. and M.Sc. degrees in Electrical Engineering from National Taiwan
University, Taipei City, Taiwan, in 2000 and 2002 respectively. Since
2005, he has been with the Electrical Engineering Department at
University of California, Los Angeles, where he is currently a Ph.D.
candidate. From 2002 to 2005, he was a system engineer at ChungHwa
Telecommunications Company, where he worked on data networks. In 2008,
he was an intern working on CDMA systems in Qualcomm, Inc. Since 2007,
he has been a Teaching Assistant at UCLA. His research interests include
communications, signal processing, and networks.
