DocumentCode
23519
Title
Matched filter based spectrum sensing when primary user has multiple power levels
Author
Zhang Xinzhi ; Gao Feifei ; Chai Rong ; Jiang Tao
Author_Institution
Key Lab. of Mobile Commun. Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Volume
12
Issue
2
fYear
2015
fDate
Feb. 2015
Firstpage
21
Lastpage
31
Abstract
In this paper, we investigate the matched filter based spectrum sensing in a more reasonable cognitive radio (CR) scenario when the primary user (PU) has more than one transmit power levels, as regulated in most standards, i.e., IEEE 802.11 Series, GSM, LTE, LTE-A, etc. This new multiple primary transmit power (MPTP) scenario is specialized by two different targets: detecting the presence of PU and identifying the power level. Compared to the traditional binary sensing where only the presence of PU is checked, SU may attain more information about the primary network (making CR more “intelligent”) and design the subsequent optimization strategy. The key technology is the multiple hypothesis testing as opposed to the traditional binary hypothesis testing. We discuss two situations under whether the channel phase is known or not, and we derive the closed form solutions for decision regions and several performance metrics, from which some interesting phenomenons are observed and the related discussions are presented. Numerical examples are provided to corroborate the proposed studies.
Keywords
cognitive radio; matched filters; optimisation; radio spectrum management; cognitive radio; matched filter based spectrum sensing; multiple hypothesis testing; multiple power levels; multiple primary transmit power; primary user; Matched filters; Noise; Probability; Sensors; Standards; Testing; Training; matched filter; multiple hypothesis testing; multiple primary transmit power; power mask; power recognition; spectrum sensing;
fLanguage
English
Journal_Title
Communications, China
Publisher
ieee
ISSN
1673-5447
Type
jour
DOI
10.1109/CC.2015.7084399
Filename
7084399
Link To Document