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Grant: Collaborative Research and Development Grants

University of Waterloo

$69,853.00

Real-time Digital Signal Processing Methods and their Implementation for Overcoming Massive MIMO Transmitter Hardware Limitations

EF 2019-20

Résumé
Worldwide, fifth generation (5G) wireless communication focused research efforts continue to expand, their goal being the development of new reconfigurable networks with ultra-high throughput, ultra-low latency, and ubiquitous connectivity. Interest in the concept of massive multiple-input multiple-output (MIMO), a cornerstone of the future 5G physical layer, continues to grow given its capacity to simultaneously increase spectral efficiency and system throughput, reduce transmission power and improve user experience while reducing the complexity of user equipment. Industry players are competing to be the first to bring wireless solutions to market that achieve the full potential of 5G. To succeed, they must possess cost-effective infrastructure solutions with radio frequency hardware capable of meeting the challenging requirements of both signal quality and power consumption under realistic operating conditions. The proposed project is the result of collaborative exploratory research carried out by the co-applicants and industry. It will develop efficient real-time digital signal processing (DSP) precoding methods that account for practical constraints and limitations associated with radio frequency hardware, mixed-signal circuits and computer hardware. This will be critical to the realization of low-power 5G transmitters that will unlock the full potential of massive MIMO. The project will provide a comprehensive theoretical and technical training in advanced DSP techniques, microwave and wireless communications systems engineering, test and measurement techniques, digital hardware, and real-time systems for graduate students. These students will work closely with researchers and engineers from Ericsson and Keysight, and the project will provide industry partners with critical knowledge for practical massive MIMO-based infrastructure deployment. This will help ensure Canadian industry has access to highly skilled labor and is at the forefront of the commercialization of 5G networking equipment.
Programme
Collaborative Research and Development Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
543919-2019
Name nom
Boumaiza, Slim
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
2019
Competition year année de concours
2019
Award amount
69853
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
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
2525
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Wireless communication systems
Research subject fr
Systèmes de télécommunications sans fil
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Real-time Digital Signal Processing Methods and their Implementation for Overcoming Massive MIMO Transmitter Hardware Limitations
Keyword
NSERC
Application summary
Worldwide, fifth generation (5G) wireless communication focused research efforts continue to expand, their goal being the development of new reconfigurable networks with ultra-high throughput, ultra-low latency, and ubiquitous connectivity. Interest in the concept of massive multiple-input multiple-output (MIMO), a cornerstone of the future 5G physical layer, continues to grow given its capacity to simultaneously increase spectral efficiency and system throughput, reduce transmission power and improve user experience while reducing the complexity of user equipment. Industry players are competing to be the first to bring wireless solutions to market that achieve the full potential of 5G. To succeed, they must possess cost-effective infrastructure solutions with radio frequency hardware capable of meeting the challenging requirements of both signal quality and power consumption under realistic operating conditions. The proposed project is the result of collaborative exploratory research carried out by the co-applicants and industry. It will develop efficient real-time digital signal processing (DSP) precoding methods that account for practical constraints and limitations associated with radio frequency hardware, mixed-signal circuits and computer hardware. This will be critical to the realization of low-power 5G transmitters that will unlock the full potential of massive MIMO. The project will provide a comprehensive theoretical and technical training in advanced DSP techniques, microwave and wireless communications systems engineering, test and measurement techniques, digital hardware, and real-time systems for graduate students. These students will work closely with researchers and engineers from Ericsson and Keysight, and the project will provide industry partners with critical knowledge for practical massive MIMO-based infrastructure deployment. This will help ensure Canadian industry has access to highly skilled labor and is at the forefront of the commercialization of 5G networking equipment.