Grant: Collaborative Research and Development Grants
Concordia University
$40,885.00
Coding and Multi-user Detection for Collaborative wireless Communication Networks
EF 2009-10
Résumé
The great advances in the areas of telecommunications, computers and electronics have resulted in the integration of all sorts of information and services. The boundaries between the different service providers have begun to erode. Thanks to technologies such as Voice over IP (VoIP) and IPTV, subscribers can receive their telephone, data services and entertainment from the same service provider. The integration of services, networks and media has resulted in emergence of strong demand for new services requiring considerably higher bandwidth than conventional applications. Providing these new services required by the customers at a competitive price is a challenging task for the communications industry. Another challenge is that with the increase in the number of mobile users requiring a level of service comparable to what they receive in their home or office, service provider have to be able to offer these emerging services anytime and anywhere. Facing these challenges requires optimized use of all physical resources available in the networks.
The major objective of this research project is to develop data transmission strategies for distributed networks that approach as closely as possible the theoretical bounds on the maximum transfer rate and the best performance in terms of least possible bit error rate or the minimum distortion, given the resource constraints of these networks, namely power and bandwidth limitations. This objective will be pursued through an effort to find optimum cooperation strategies among the network nodes and to exploit the correlation between the information available at different nodes, the latter being particularly beneficial in the case of sensor networks. The basic enabling technologies would be essential to take advantage of the temporal, spectral and spatial diversity of the underlying multi-terminal wireless channel. The basic techniques used will be Network Coding, combined network and channel coding, combined network/source coding, multiuser detection, interference cancellation, and iterative detection.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
382377-2009
Name nom
Soleymani, Mohammad
Department département
Electrical and Computer Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2009
Award amount
40885
Program id
CRDPJ
Program nane en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
514
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Communications equipment
Area of application fr
Matériel de télécommunications
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
1
Nb partie
2
Application title
Coding and Multi-user Detection for Collaborative wireless Communication Networks
Keyword
NA
Application summary
The great advances in the areas of telecommunications, computers and electronics have resulted in the integration of all sorts of information and services. The boundaries between the different service providers have begun to erode. Thanks to technologies such as Voice over IP (VoIP) and IPTV, subscribers can receive their telephone, data services and entertainment from the same service provider. The integration of services, networks and media has resulted in emergence of strong demand for new services requiring considerably higher bandwidth than conventional applications. Providing these new services required by the customers at a competitive price is a challenging task for the communications industry. Another challenge is that with the increase in the number of mobile users requiring a level of service comparable to what they receive in their home or office, service provider have to be able to offer these emerging services anytime and anywhere. Facing these challenges requires optimized use of all physical resources available in the networks.
The major objective of this research project is to develop data transmission strategies for distributed networks that approach as closely as possible the theoretical bounds on the maximum transfer rate and the best performance in terms of least possible bit error rate or the minimum distortion, given the resource constraints of these networks, namely power and bandwidth limitations. This objective will be pursued through an effort to find optimum cooperation strategies among the network nodes and to exploit the correlation between the information available at different nodes, the latter being particularly beneficial in the case of sensor networks. The basic enabling technologies would be essential to take advantage of the temporal, spectral and spatial diversity of the underlying multi-terminal wireless channel. The basic techniques used will be Network Coding, combined network and channel coding, combined network/source coding, multiuser detection, interference cancellation, and iterative detection.