Grant: Discovery Grants Program - Individual
University of Windsor
$46,000.00
Efficient Algorithms for Cognitive Radio Networks
FY 2022-23
Summary
Cognitive radio (CR) is a radio with an intelligent layer of awareness and learning necessary to achieve optimal performance under dynamic and unpredictable conditions. CR can dynamically adapt its behavior, through its awareness, to the radio environment and spectrum policy. One of the most critical components of CR technology is spectrum sensing (SS). By sensing and adapting to the environment, a CR is able to fill in spectrum holes and serve secondary users without harmful interference to the primary users. SS techniques can be categorized into two categories: local SS, and collaborative SS (CSS). There are three main local techniques which are: matched filter detection technique, energy detection technique, and cyclostatinary detection. CSS significantly alleviates the deterioration of sensing performance due to destructive radio conditions. Software-defined radio (SDR) is a key enabling technology to realize CRs. The proposal considers improved algorithms for CR Networks (CRNs). The proposal will investigate efficient blind SS/CSS techniques that would lead to decrease sensing time while improving the probability of detection; overhead compromise will be considered. The proposal will also investigate cluster-based SS (CBSS) approaches for CRNs that would maintain high performance under noise uncertainty, low signal-to-noise-ratio (SNR) conditions, and multipath fading conditions. Scenarios, where more than one primary user exists, will be investigated and analyzed. Performance enhancement of local SS using adaptive joint sensing threshold and sensing time will be investigated as well as enhancing energy efficiency for wideband CSS in CRNs using coalitional game theory.Vehicular ad hoc network (VANET) is on the rise due to increasing demands for vehicles to communicate with each other and with the infrastructure to ensure road safety and to introduce new services. The proposal considers efficient solutions for CR-VANETs that would consider sensing the spectrum, forming clusters while on the move. SS techniques under fast fading will be investigated to serve CR-VANET. Methods to protect the primary user (PU) in CR-VANET need to be investigated and developed. Efficient medium access control (MAC) schemes that would lead to enhance the sensing performance in CR VANET will be investigated. Investigating the impact of changing mobility parameters (high speed, changeable topology, etc.) on sensing performance and accuracy will be investigated. This proposal aims to provide a research environment where graduate and undergraduate students get involved in state-of-the-art topics in computer-communication networks that definitely will enhance their potential and knowledge.
Program
Discovery Grants Program - Individual
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2018-05523
Name nom
Abdel-Raheem, Esam
Department département
Electrical and Computer Engineering - Electrical and Computer Engineering
Organization id
37
Institution établissement
University of Windsor
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2018
Award amount
46000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
800
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 and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Installment
inst:5;6
Partie
2
Nb partie
6
Application title
Efficient Algorithms for Cognitive Radio Networks
Application summary
Cognitive radio (CR) is a radio with an intelligent layer of awareness and learning necessary to achieve optimal performance under dynamic and unpredictable conditions. CR can dynamically adapt its behavior, through its awareness, to the radio environment and spectrum policy. One of the most critical components of CR technology is spectrum sensing (SS). By sensing and adapting to the environment, a CR is able to fill in spectrum holes and serve secondary users without harmful interference to the primary users. SS techniques can be categorized into two categories: local SS, and collaborative SS (CSS). There are three main local techniques which are: matched filter detection technique, energy detection technique, and cyclostatinary detection. CSS significantly alleviates the deterioration of sensing performance due to destructive radio conditions. Software-defined radio (SDR) is a key enabling technology to realize CRs. The proposal considers improved algorithms for CR Networks (CRNs). The proposal will investigate efficient blind SS/CSS techniques that would lead to decrease sensing time while improving the probability of detection; overhead compromise will be considered. The proposal will also investigate cluster-based SS (CBSS) approaches for CRNs that would maintain high performance under noise uncertainty, low signal-to-noise-ratio (SNR) conditions, and multipath fading conditions. Scenarios, where more than one primary user exists, will be investigated and analyzed. Performance enhancement of local SS using adaptive joint sensing threshold and sensing time will be investigated as well as enhancing energy efficiency for wideband CSS in CRNs using coalitional game theory.Vehicular ad hoc network (VANET) is on the rise due to increasing demands for vehicles to communicate with each other and with the infrastructure to ensure road safety and to introduce new services. The proposal considers efficient solutions for CR-VANETs that would consider sensing the spectrum, forming clusters while on the move. SS techniques under fast fading will be investigated to serve CR-VANET. Methods to protect the primary user (PU) in CR-VANET need to be investigated and developed. Efficient medium access control (MAC) schemes that would lead to enhance the sensing performance in CR VANET will be investigated. Investigating the impact of changing mobility parameters (high speed, changeable topology, etc.) on sensing performance and accuracy will be investigated. This proposal aims to provide a research environment where graduate and undergraduate students get involved in state-of-the-art topics in computer-communication networks that definitely will enhance their potential and knowledge.