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Content Provider | IEEE Xplore Digital Library |
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Author | Dikmese, S. Srinivasan, S. Renfors, M. |
Copyright Year | 2012 |
Description | Author affiliation: Department of Communications Engineering, Tampere University of Technology, Tampere, Finland (Dikmese, S.; Srinivasan, S.; Renfors, M.) |
Abstract | Wireless Local Area Networks (WLAN) such as the OFDM based 802.11g system is designed to operate in 2.4 GHz ISM band. IEEE 802.11 devices are used at the same frequency band with various other applications, which causes interference between different users and leads to significant performance degradation. Hence, Cognitive Radio (CR) technology has been considered for coordinating the spectrum usage in a better way in this band. Spectrum sensing is one of the most important functions in a CR. In this study, filter bank based wideband spectrum sensing techniques are applied for detecting WLAN signals and spectral holes. Also filter bank based multicarrier techniques, together with a water-filling based subcarrier loading algorithm, are considered for effective exploitation of the detected holes. Clear benefit is demonstrated for using spectrally well-contained subband processing instead of basic FFT approaches. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 1049259 |
Page Count | 5 |
File Format | |
ISBN | 9781467302746 |
e-ISBN | 9781467302760 |
DOI | 10.1109/ISCCSP.2012.6217788 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-05-02 |
Publisher Place | Italy |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Algorithm design and analysis Wireless LAN Loading algorithms OFDM Filter banks spectrum Utilization CR filter bank Loading FFT spectrum sensing Sensors Signal to noise ratio |
Content Type | Text |
Resource Type | Article |
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