Canada Spends Logo

Explore our Budget 2026 analysis

Grant: Collaborative Research and Development Grants

University of Western Ontario

$96,000.00

Situation-aware and adaptive physical layer designs for highly efficient Wi-Fi (hew) in iot communications

FY 2017-18

Summary
The dramatically increased use of wireless sensors, intelligent machines and cloud based applications, have created a paradigm shift from people-centric communications to machine-oriented communications, which is supported by Internet-of-Things (IoT) and envisioned as the fundamental enabling platform for our connected society. The main objective of this NSERC CRD application is to develop critical physical layer techniques for the next generation Wi-Fi network in meeting the key requirements of IoT applications. Specifically, the proposed research focuses on the reduction of power consumption of IoT devices, extension of communications range through adaptive beamformed transmission, and integration with the latest IEEE 802.11ax while maintaining backward compatibility. The proposed highly efficient Wi-Fi (HEW)designs can reduce the power consumption and increase the communication range by deploying multiple antenna Access Point (AP) and exploiting adaptive beamforming technique. Furthermore, to increase the number of devices served by the AP, we propose to develop new scheduling mechanism by exploring the spatial dimension of IoT devices and multiple access strategies. To reduce the cost of AP, we propose to re-design the AP by allowing RF chain sharing by more than one antennas through new antenna selection strategy. Further, we propose novel low complexity cloud based machine learning (ML) based beamforming and scheduling algorithms. Lastly, new frame structures for Wi-Fi will be developed with user-defined preambles and varying payload to support backward compatibility with legacy Wi-Fi devices. The funds from the NSERC CRD program will be mainly used to support the development team involved at Western University, which includes one postdoctoral fellow and two graduate students to carry out the proposed research and development activities, as well as the interaction activities with Huawei Canada. The research will help the Canadian ICT industries develop battery efficient and low cost Wi-Fi based IoT devices, which will directly benefit the Internet and IoT enabled economy.
Program
Collaborative Research and Development Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
509801-2017
Name nom
Wang, Xianbin
Department département
Electrical and Computer Engineering
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
96000
Program id
CRDPJ
Program name 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
1
Application title
Situation-aware and adaptive physical layer designs for highly efficient Wi-Fi (hew) in iot communications
Keyword
NSERC
Application summary
The dramatically increased use of wireless sensors, intelligent machines and cloud based applications, have created a paradigm shift from people-centric communications to machine-oriented communications, which is supported by Internet-of-Things (IoT) and envisioned as the fundamental enabling platform for our connected society. The main objective of this NSERC CRD application is to develop critical physical layer techniques for the next generation Wi-Fi network in meeting the key requirements of IoT applications. Specifically, the proposed research focuses on the reduction of power consumption of IoT devices, extension of communications range through adaptive beamformed transmission, and integration with the latest IEEE 802.11ax while maintaining backward compatibility. The proposed highly efficient Wi-Fi (HEW)designs can reduce the power consumption and increase the communication range by deploying multiple antenna Access Point (AP) and exploiting adaptive beamforming technique. Furthermore, to increase the number of devices served by the AP, we propose to develop new scheduling mechanism by exploring the spatial dimension of IoT devices and multiple access strategies. To reduce the cost of AP, we propose to re-design the AP by allowing RF chain sharing by more than one antennas through new antenna selection strategy. Further, we propose novel low complexity cloud based machine learning (ML) based beamforming and scheduling algorithms. Lastly, new frame structures for Wi-Fi will be developed with user-defined preambles and varying payload to support backward compatibility with legacy Wi-Fi devices. The funds from the NSERC CRD program will be mainly used to support the development team involved at Western University, which includes one postdoctoral fellow and two graduate students to carry out the proposed research and development activities, as well as the interaction activities with Huawei Canada. The research will help the Canadian ICT industries develop battery efficient and low cost Wi-Fi based IoT devices, which will directly benefit the Internet and IoT enabled economy.