Grant: Strategic Projects - Group
University of Waterloo
$180,490.00
A cross-layer optimization framework for coded wireless video multicast
EF 2012-13
Résumé
It is envisioned that the existing real-time video multicast services will be extended to and offered in wireless environments due to the emergence of broadband wireless access (BWA) technologies such as IEEE 802.16 and Long Term Evolution (LTE). The demand for real-time wireless video multicast services will drive the growth of future carrier networks while pushing bandwidth and accessibility limits. However, to enable a reliable and efficient video multicast service over BWA networks, there are a couple of legacy problems including video quality loss due to packet loss and multi user channel diversity that need to be carefully addressed and solved. In this project, we intend to establish a cross layer optimization framework within which scalable video coding, multiple description coding (MDC), and superposition coded modulation (SPC) can be jointly designed and optimally integrated to overcome both the multi-user diversity and transmission loss problems so as to
minimize the end-to-end distortion for intended receivers. Our objectives are to gain deep understanding on how scalable coding, MDC, and SPC should interplay with each other and be jointly desgined for the purpose of providing efficient and reliable video multicast, to design algorithms for dynamically and optimally configuring scalable video coding, MDC, and SPC so as to maximize the received video quality for the intended receivers, and to develop a prototype demonstrating the performance achievable within the proposed optimization framework based on the open sources of Mad Wifi and Linux 2.6 on IXP 425 processor. The proposed optimization framework and solutions are expected to solidly contribute to the research
community and telecommunication industry in developing the next-generation video multicast service provisioning infrastructure in BWA networks by offering a complete new and effective design paradigm for video multicasting over wireless links. Our research results will help our research partners and other Canadian companies to gain competitive technological advantage in advanced communications.
Programme
Strategic Projects - Group
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
397345-2010
Name nom
Yang, EnHui
Department département
Electrical & Computer Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2010
Award amount
180490
Program id
STPGP
Program name 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
804
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communication systems and services (planning, organization, services)
Area of application fr
Systèmes et services de communications (planification, organisation et services)
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
3
Nb partie
3
Application title
A cross-layer optimization framework for coded wireless video multicast
Keyword
NSERC
Application summary
It is envisioned that the existing real-time video multicast services will be extended to and offered in wireless environments due to the emergence of broadband wireless access (BWA) technologies such as IEEE 802.16 and Long Term Evolution (LTE). The demand for real-time wireless video multicast services will drive the growth of future carrier networks while pushing bandwidth and accessibility limits. However, to enable a reliable and efficient video multicast service over BWA networks, there are a couple of legacy problems including video quality loss due to packet loss and multi user channel diversity that need to be carefully addressed and solved. In this project, we intend to establish a cross layer optimization framework within which scalable video coding, multiple description coding (MDC), and superposition coded modulation (SPC) can be jointly designed and optimally integrated to overcome both the multi-user diversity and transmission loss problems so as to
minimize the end-to-end distortion for intended receivers. Our objectives are to gain deep understanding on how scalable coding, MDC, and SPC should interplay with each other and be jointly desgined for the purpose of providing efficient and reliable video multicast, to design algorithms for dynamically and optimally configuring scalable video coding, MDC, and SPC so as to maximize the received video quality for the intended receivers, and to develop a prototype demonstrating the performance achievable within the proposed optimization framework based on the open sources of Mad Wifi and Linux 2.6 on IXP 425 processor. The proposed optimization framework and solutions are expected to solidly contribute to the research
community and telecommunication industry in developing the next-generation video multicast service provisioning infrastructure in BWA networks by offering a complete new and effective design paradigm for video multicasting over wireless links. Our research results will help our research partners and other Canadian companies to gain competitive technological advantage in advanced communications.
