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An FPGA Real-Time Spectrum Sensing for Cognitive Radio in Very High Throughput WLAN

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Pervasive Computing and the Networked World (ICPCA/SWS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7719))

Abstract

In this paper, a spectrum sensing module of cognitive radio for a high speed WLAN is proposed, which aims at a G-bit data transmission rate. Energy detection for spectrum sensing is selected due to its needless of knowledge of PU signal. Also, a new method of adaptive threshold generation mechanism is introduced and accomplished. Both simulation and implementation are done and the performance is analyzed. With all the above work completed, this potential application may be used for the future WLAN to achieve higher performance. In addition, the aspects of potential methods to improve the performance of this module are provided for further study.

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References

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Author information

Authors and Affiliations

  1. School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, P.R. China, 100876

    Zhigang Wen, Zibo Meng, Qing Wang, Lihua Liu, Junwei Zou & Li Wang

Authors
  1. Zhigang Wen
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  2. Zibo Meng
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  3. Qing Wang
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  4. Lihua Liu
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  5. Junwei Zou
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  6. Li Wang
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Editor information

Editors and Affiliations

  1. Wuhan University of Technology, Heping Road 1178, Wuchang District, 430081, Wuhan, Hubei, China

    Qiaohong Zu

  2. Hayes Park Central, Fujitsu Laboratories of Europe Ltd., Hayes End Road, UB4 8FE, Hayes, Middlesex, UK

    Bo Hu

  3. Department of Electrical and Electronics Engineering, Aksaray University, Merkez Kampüsü, 68100, Aksaray, Turkey

    Atilla Elçi

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© 2013 Springer-Verlag Berlin Heidelberg

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Wen, Z., Meng, Z., Wang, Q., Liu, L., Zou, J., Wang, L. (2013). An FPGA Real-Time Spectrum Sensing for Cognitive Radio in Very High Throughput WLAN. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_53

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  • DOI: https://doi.org/10.1007/978-3-642-37015-1_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37014-4

  • Online ISBN: 978-3-642-37015-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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