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Content Provider | IEEE Xplore Digital Library |
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Author | Jingdi Liu Xin Zhang Ruiming Zheng Qun Pan Dacheng Yang |
Copyright Year | 2010 |
Abstract | It is widely accepted that the emergence of cognitive radio (CR) will lead to a wireless communication revolution. Spectrum sensing is one key process of CR, which makes effective use of scarce spectrum. Two novel schemes, clustering and locating schemes, are presented for spectrum sensing based on energy detection on the condition that there are multiple primary users in the cognitive radio network. Clustering scheme is used for estimating the number of primary users and dividing the secondary users into several groups based on their geographical position as well as received energy by my proposed iterative max-min theory, and then locates the position of primary user by locating scheme based on the center of gravity algorithm. These schemes work well when only geographic information and the amount of energy can be obtained. Finally, numerical analysis and simulation results of these schemes are provided. It is proved that the proposed criteria are practical and efficient in the absence of the type of primary signal and the amount of noise which are necessary for previous methods. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 259118 |
Page Count | 5 |
File Format | |
ISBN | 9781424425181 |
ISSN | 15502252 |
DOI | 10.1109/VETECS.2010.5493669 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-05-16 |
Publisher Place | Taiwan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cognitive radio Chromium Shadow mapping Gravity Iterative algorithms Numerical analysis Clustering algorithms FCC Collaboration Wireless sensor networks |
Content Type | Text |
Resource Type | Article |
Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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