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Grant: Alliance Grants

Université d'Ottawa

$30,000.00

Favorable propagation studies for massive MIMO systems

EF 2023-24

Résumé
Favorable propagation studies for massive MIMO systems: mMIMO is a key technology for 5G and beyond, due to its ability to deliver high spectral efficiency/rate in multi-user environments using simplified (linear) processing. Its advantages can be fully exploited under certain conditions known compactly as "favorable propagation" (FP). Unlike the known methods, which rely on sophisticated beamforming algorithms (e.g. successive interference cancellation, maximum SNR or minimum mean square error) and thus are difficult to implement when the number of antennas is large, our approach targets reducing drastically implementation's complexity and improving its robustness by exploiting the FP property. The known FP studies were carried out in simplified environments, and under a number of simplified assumptions. It remains unclear whether FP will hold in realistic 5G environments under practical constraints. This project will address these issues by studying the FP in realistic propagation environments (multipath propagation, correlated fading), for moderate to large number of antennas various user configurations and array geometries, with implementation errors included. The results of performance analysis will be used to optimize system design and performance and to develop processing algorithms under various practical constraints.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
590897-2023
Name nom
Loyka, Sergey S
Department département
Electrical Engineering and Computer Science , School of
Organization id
28
Institution établissement
Université d'Ottawa
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
30000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
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
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
2525
Research subject group en
Electrical and electronic engineering
Research subject group fr
Wireless communication systems
Research subject en
Génie électrique et électronique
Research subject fr
Systèmes de télécommunications sans fil
Application title
Favorable propagation studies for massive MIMO systems
Keyword
cellular communications; massive MIMO; MIMO systems; optimization; wireless communications
Application summary
Favorable propagation studies for massive MIMO systems: mMIMO is a key technology for 5G and beyond, due to its ability to deliver high spectral efficiency/rate in multi-user environments using simplified (linear) processing. Its advantages can be fully exploited under certain conditions known compactly as "favorable propagation" (FP). Unlike the known methods, which rely on sophisticated beamforming algorithms (e.g. successive interference cancellation, maximum SNR or minimum mean square error) and thus are difficult to implement when the number of antennas is large, our approach targets reducing drastically implementation's complexity and improving its robustness by exploiting the FP property. The known FP studies were carried out in simplified environments, and under a number of simplified assumptions. It remains unclear whether FP will hold in realistic 5G environments under practical constraints. This project will address these issues by studying the FP in realistic propagation environments (multipath propagation, correlated fading), for moderate to large number of antennas various user configurations and array geometries, with implementation errors included. The results of performance analysis will be used to optimize system design and performance and to develop processing algorithms under various practical constraints.