Grant: Strategic Projects - Group
University of Alberta
$196,500.00
Intelligent signal processing for ubiquitous high-capacity, heterogeneous, scalable wireless networks
FY 2008-09
Summary
Emerging wireless communication networks are enabling a variety of applications ranging from critical infrastructure protection and security, to environment monitoring, health care and quality of life. Various types of current and emerging wireless network architectures include cellular networks, wireless local area networks, wireless ad hoc networks, wireless personal area networks, and Worldwide Interoperability for Microwave Access (WiMAX) systems. Moreover, future fourth-generation radio access is anticipated to provide data rates up to 100 Mb/s with wide-area coverage and up to 1 Gb/s with local-area coverage that can be achieved by using sophisticated and computationally powerful transceivers. Classical communication theory is based on a competitive framework in which different users and applications compete for resources such as bandwidth and power. However, recent research has demonstrated that cooperative strategies can significantly improve the overall capacity of wireless networks. These strategies exploit the intuitive notion that intermediate nodes can assist data transmission between the source and the destination nodes and facilitate the realization of low-cost virtual multiple-input multiple-output (MIMO) systems. Cooperative networks require the development of appropriate channel and frequency estimation methods, practical coding and decoding techniques, beamforming, and MIMO orthogonal frequency division multiplexing techniques. Our main focus is therefore on the development of intelligent signal processing techniques for cooperative networks. We will utilize recent advances in robust beamforming, modern coding theory, space-time signal processing, and cooperative strategies to significantly improve the throughput, scalability, reliability and performance of cooperative wireless networks. The successful project outcomes will thus enable high capacity, ubiquitous wireless network infrastructures with end-to-end broadband capability. Moreover, these outcomes will also improve the reliability, efficiency, and scalability of these wireless networks.
Program
Strategic Projects - Group
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
350451-2007
Name nom
Tellambura, Chintha
Department département
Electrical and Computer Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2007
Award amount
196500
Program id
STPGP
Program nane en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1041
Committee name en
Strategic Projects Selection Panel - Communications and Information
Committee name fr
Comité de sélection des projets stratégiques - Communication et information
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2507
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Communications systems
Research subject fr
Systèmes de télécommunications
Partie
2
Nb partie
3
Application title
Intelligent signal processing for ubiquitous high-capacity, heterogeneous, scalable wireless networks
Keyword
NA
Application summary
Emerging wireless communication networks are enabling a variety of applications ranging from critical infrastructure protection and security, to environment monitoring, health care and quality of life. Various types of current and emerging wireless network architectures include cellular networks, wireless local area networks, wireless ad hoc networks, wireless personal area networks, and Worldwide Interoperability for Microwave Access (WiMAX) systems. Moreover, future fourth-generation radio access is anticipated to provide data rates up to 100 Mb/s with wide-area coverage and up to 1 Gb/s with local-area coverage that can be achieved by using sophisticated and computationally powerful transceivers. Classical communication theory is based on a competitive framework in which different users and applications compete for resources such as bandwidth and power. However, recent research has demonstrated that cooperative strategies can significantly improve the overall capacity of wireless networks. These strategies exploit the intuitive notion that intermediate nodes can assist data transmission between the source and the destination nodes and facilitate the realization of low-cost virtual multiple-input multiple-output (MIMO) systems. Cooperative networks require the development of appropriate channel and frequency estimation methods, practical coding and decoding techniques, beamforming, and MIMO orthogonal frequency division multiplexing techniques. Our main focus is therefore on the development of intelligent signal processing techniques for cooperative networks. We will utilize recent advances in robust beamforming, modern coding theory, space-time signal processing, and cooperative strategies to significantly improve the throughput, scalability, reliability and performance of cooperative wireless networks. The successful project outcomes will thus enable high capacity, ubiquitous wireless network infrastructures with end-to-end broadband capability. Moreover, these outcomes will also improve the reliability, efficiency, and scalability of these wireless networks.
