Title
Centralized Cooperative Directional Spectrum Sensing for Cognitive Radio Networks.
Abstract
Most previous spectrum sensing techniques use omni-directional antennas. Unlike omni-directional antennas, the use of directional antennas for spectrum sensing is a promising technique that can realize fine-grained sensing for the primary user (PU) with a longer sensing range. In this paper, we propose a centralized cooperative directional sensing technique for cognitive radio networks. We assume that one secondary coordinator called the fusion center (FC), gathers sensing results from secondary nodes. Using the reported information, the FC optimizes the sensing period, sensing power, and sensing beams per secondary node. For optimization, we use a modified gradient descent method with numerical methods to solve the nonlinear optimization problem. The simulation results show that our directional spectrum sensing technique is well suited for the existing cognitive radio environment. The optimal scheme shows proposed here better performance in all simulation factors than the non-optimized scheme.
Year
DOI
Venue
2018
10.1109/TMC.2017.2768509
IEEE Trans. Mob. Comput.
Keywords
Field
DocType
Sensors,Directional antennas,Cognitive radio,Optimization,Directive antennas,Uncertainty,Mobile computing
Mobile computing,Gradient descent,Computer science,Nonlinear optimization problem,Electronic engineering,Directive antennas,Fusion center,Directional antenna,Numerical analysis,Cognitive radio,Distributed computing
Journal
Volume
Issue
ISSN
17
6
1536-1233
Citations 
PageRank 
References 
1
0.35
0
Authors
5
Name
Order
Citations
PageRank
Woongsoo Na15812.02
jongha yoon241.15
Sungrae Cho327839.43
David W. Griffith484.35
Nada Golmie544347.24