Grant: Discovery Grants Program - Individual
Queen's University
$56,000.00
Joint source-channel coding theory with applications to wireless communication networks
FY 2012-13
Summary
In this application, we seek funding to continue our research program in information theory and wireless communications. The research program concerns the development of advanced joint source-channel coding (JSCC) technology for improving the reliability, connectivity and speed of wireless communication networks and meeting the rapidly growing demand for seamless and ubiquitous wireless multimedia services. JSCC provides the right approach to construct the best codes for the efficient transmission of data sources over noisy channels, particularly under stringent delay and complexity constraints and for multi-user networks where Shannon's principle for the separation of data compression and channel coding fails to hold in general.
Building on our experience and extensive achievements in JSCC, we will focus on the following four research objectives: (i) the information theoretic investigation of the JSCC error exponent for multi-user networks; (ii) the development of sophisticated discrete channel models to judiciously represent the behavior of soft-decision demodulated correlated fading multi-antenna channels; (iii) the design and analysis of powerful low-complexity JSCC techniques for wireless networks; (iv) the application of the above JSCC methods to wireless multimedia communications and sensor networks.
This research project, which will feature the training of five graduate students (3 doctoral and 2 Masters) and one postdoctoral fellow per year, is anticipated to provide a deeper understanding of both the fundamental principles and the practical aspects of JSCC, thus positively contributing to a sustainable improvement of wireless communications and multimedia technologies.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
183645-2009
Name nom
Alajaji, Fady
Department département
Mathematics and Statistics
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2009
Award amount
56000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1079
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et de l'informatique
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2718
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Communication and information theory
Research subject fr
Théorie des télécommunications et de l'information
Partie
4
Nb partie
5
Application title
Joint source-channel coding theory with applications to wireless communication networks
Keyword
NSERC
Application summary
In this application, we seek funding to continue our research program in information theory and wireless communications. The research program concerns the development of advanced joint source-channel coding (JSCC) technology for improving the reliability, connectivity and speed of wireless communication networks and meeting the rapidly growing demand for seamless and ubiquitous wireless multimedia services. JSCC provides the right approach to construct the best codes for the efficient transmission of data sources over noisy channels, particularly under stringent delay and complexity constraints and for multi-user networks where Shannon's principle for the separation of data compression and channel coding fails to hold in general.
Building on our experience and extensive achievements in JSCC, we will focus on the following four research objectives: (i) the information theoretic investigation of the JSCC error exponent for multi-user networks; (ii) the development of sophisticated discrete channel models to judiciously represent the behavior of soft-decision demodulated correlated fading multi-antenna channels; (iii) the design and analysis of powerful low-complexity JSCC techniques for wireless networks; (iv) the application of the above JSCC methods to wireless multimedia communications and sensor networks.
This research project, which will feature the training of five graduate students (3 doctoral and 2 Masters) and one postdoctoral fellow per year, is anticipated to provide a deeper understanding of both the fundamental principles and the practical aspects of JSCC, thus positively contributing to a sustainable improvement of wireless communications and multimedia technologies.