Name
Abstract | ||
|---|---|---|
In this paper we demonstrate that existing cooperative spectrum sensing formulated for static primary users cannot accurately detect dynamic primary users regardless of the information fusion method. Performance error occurs as the sensing parameters calculated by the conventional detector result in sensing performance that violates the sensing requirements. Furthermore, the error is accumulated and compounded by the number of cooperating nodes. To address this limitation, we design and implement the duty cycle detection model for the context of cooperative spectrum sensing to accurately calculate the sensing parameters that satisfy the sensing requirements. We show that longer sensing duration is required to compensate for dynamic primary user traffic. |
Year | Venue | Keywords |
|---|---|---|
2013 | Signal Processing Conference | cognitive radio,cooperative communication,sensor fusion,signal detection,telecommunication traffic,cooperating nodes,cooperative spectrum sensing,duty cycle detection model,dynamic primary user traffic,information fusion,performance error,sensing parameters,sensing performance,static primary users,cooperating spectrum sensing,duty cycle,dynamic primary user,spectrum sensing |
Field | DocType | Citations |
Duty cycle,Simulation,Real-time computing,Engineering,Information fusion,Detector,Cognitive radio | Conference | 1 |
PageRank | References | Authors |
0.36 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bouchra Senadji | 1 | 186 | 20.93 |
| Kevin Chang | 2 | 1 | 0.36 |