Grant: Discovery Grants Program - Individual
Concordia University
$41,000.00
Efficient Design Approaches for MIMO/Cooperative Cognitive Radio Transceivers
FY 2017-18
Summary
The rigid structure of the current spectrum allocation policies creates a bottleneck for rapidly growing wireless users. On the other hand, the Federal Communication Commission (FCC) measurements reveal that most of the licensed frequency bands are either unused or utilized less than 10% of the time. In order to address the limitations on spectrum usage, the FCC has motivated the use of opportunistic spectrum sharing to make licensed frequency bands accessible for unlicensed wireless users. The intention behind this is to create cognitive capability of wireless devices for concurrent spectrum usage. In cognitive networks, users/radios dynamically adapt to their environment through learning or artificial intelligence with the aim of improving the overall network performance. Given the projected smart capabilities of cognitive networks, many challenges such as spectrum sensing/sharing and system identification need to be addressed before actual implementation can take place. This proposal aims at investigating these challenges in an effort to enhance the overall spectrum efficiency in wireless cognitive networks. Specifically we will focus on efficient and low complexity spectrum sensing and blind system identification techniques with emphasis on modulation type/size, number of used antennas, and code design identification. The proposed research program will also involve investigations for joint design of the physical layer parameters and higher networking aspects of the wireless protocol stack in a cross-layer context. The design approach will be based on cognitive communications supported by intelligent architectures at the mobile cognitive end. With the wide applications of cognitive networks ranging from safety, healthcare (e.g., tracking of people with mental disabilities) and transportation, our findings will benefit both research institutions and companies, and hence provide the research communities in both industry and academia with efficient and fast implementations of these applications.
Program
Discovery Grants Program - Individual
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
261321-2013
Name nom
Hamouda, Walaa
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
2017
Competition year année de concours
2013
Award amount
41000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
805
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communications technologies (satellites, radar, etc.)
Area of application fr
Technologie des télécommunications (satellites, radar,etc.)
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
Partie
5
Nb partie
5
Application title
Efficient Design Approaches for MIMO/Cooperative Cognitive Radio Transceivers
Keyword
NSERC
Application summary
The rigid structure of the current spectrum allocation policies creates a bottleneck for rapidly growing wireless users. On the other hand, the Federal Communication Commission (FCC) measurements reveal that most of the licensed frequency bands are either unused or utilized less than 10% of the time. In order to address the limitations on spectrum usage, the FCC has motivated the use of opportunistic spectrum sharing to make licensed frequency bands accessible for unlicensed wireless users. The intention behind this is to create cognitive capability of wireless devices for concurrent spectrum usage. In cognitive networks, users/radios dynamically adapt to their environment through learning or artificial intelligence with the aim of improving the overall network performance. Given the projected smart capabilities of cognitive networks, many challenges such as spectrum sensing/sharing and system identification need to be addressed before actual implementation can take place. This proposal aims at investigating these challenges in an effort to enhance the overall spectrum efficiency in wireless cognitive networks. Specifically we will focus on efficient and low complexity spectrum sensing and blind system identification techniques with emphasis on modulation type/size, number of used antennas, and code design identification. The proposed research program will also involve investigations for joint design of the physical layer parameters and higher networking aspects of the wireless protocol stack in a cross-layer context. The design approach will be based on cognitive communications supported by intelligent architectures at the mobile cognitive end. With the wide applications of cognitive networks ranging from safety, healthcare (e.g., tracking of people with mental disabilities) and transportation, our findings will benefit both research institutions and companies, and hence provide the research communities in both industry and academia with efficient and fast implementations of these applications.