Spectrum Management and Applications for Mobile and Cognitive Radio Networks

The Hong Kong University of Science and Technology
Department of Computer Science and Engineering


PhD Thesis Defence


Title: "Spectrum Management and Applications for Mobile and
Cognitive Radio Networks"

By

Mr. Dawei Chen


Abstract

Cognitive Radio (CR) and Mobile Networks have been a hot topic for 
extensive study in recent years. Since the spectrum allocation and access 
are both dynamic, new challenges are introduced into the spectrum 
management and the applications. In this thesis, for the spectrum 
assignment problem, we proposed AASA, a spectrum assignment algorithm in 
cognitive ad-hoc networks. AASA utilizes the small spectrum fragments that 
cannot be utilized by contiguous spectrum assignment algorithms. To obtain 
quantitative understanding of current spectrum utilization, we carried out 
a set of spectrum measurements in the 20MHz to 3GHz spectrum band at 4 
locations concurrently in Guangdong province of China, and using these 
data sets we conducted a set of detailed analysis of the first and second 
order statistics of the collected data. Moreover, we also utilized such 
spectrum correlation to develop a 2-dimensional frequent pattern mining 
algorithm that can accurately predict channel availability based on past 
observations. For the multi-user multi-channel coordination issue, we 
present a new coordination approach Subcarrier Coding (SC), which was 
designed to enable the receiver obtain the coordination messages via 
simple energy detection. At last, for the application, we first propose 
deStress, the mobile and remote stress monitoring, alleviation and 
management system to quantitatively assesses the user's stress level in a 
continuous range. deStress provides a system for stress monitoring and 
management, and a novel adaptive respiration-based bio-feedback approach 
to alleviate stress. And then we design and implement RASS, a portable 
Real-time Automatic Sleep Scoring system to accurately scores the sleeping 
state and detects sleep apnea in real-time based on the sensing results of 
pulse, blood oxygen, activity, sound and light signals. The above studies 
demonstrate that this thesis solves several key challenges of spectrum 
management and application in wireless and mobile networks.


Date:			Friday, 27 July 2012

Time:			2:00pm – 4:00pm

Venue:			Room 3494
 			Lifts 25/26

Chairman:		Prof. Chen Guanghao (CIVL)

Committee Members:	Prof. Qian Zhang (Supervisor)
 			Prof. Gary Chan
 			Prof. Lei Chen
 			Prof. Bing Zeng (ECE)
                         Prof. Jiannong Cao (Computing, PolyU)


**** ALL are Welcome ****