Toward Secure Centralized Spectrum Sensing for Cognitive Radio
Date Issued
2009
Date
2009
Author(s)
Ho, Kuan-Cheng
Abstract
The spectrum bands remain finite while new techniques keep increasing. Today’s wireless networks are regulated by a fixed spectrum assignment policy. Researches show that most of the spectrums are rarely used. The spectrum usage is concentrated on certain portions of the spectrum while a significant amount of the spectrum remains unutilized. This phenomenon would limit the growing of new technologies in wireless network. Thus, spectrum utilization seems to become more important. Cognitive Radio (CR) is a revolutionary technology to make use of the spectrum more effectively. In order to avoid the interference to the primary user, spectrum sensing must be sensitive. Cooperative Spectrum Sensing (CSS) is one way to increase the reliability of spectrum sensing. The information fusion technique is a key component of CSS. In this paper, we adopt a grid-like model for CR networks, and we utilize geographical information to propose a new two-level fusion scheme called Secure Centralized Spectrum Sensing (SCSS). The simulation results show when the attackers present high density aggregation at some area, the correct sensing ratio of SCSS increases even when the number of attackers is very large.
Subjects
Cognitive Radio
Spectrum Sensing
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-98-R96944017-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):97652e09a16fbbf8e0d7ed71e5039a78