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Research on Spectrum Detection Technology in Cognitive Radio

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Wireless Internet (WICON 2016)

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Abstract

The shortage of spectrum resources has hindered the development of the new wireless multimedia technology. Cognitive radio (CR) technology can successfully deal with the growing demand and scarcity of the wireless spectrum. Through this technology the unlicensed users can use the underutilized spectrum without any harmful interference to the licensed users. The spectrum sensing problem is one of the most challenging issues in cognitive radio systems to detect the available frequency bands. This paper introduces the spectrum sensing technology of cognitive radio and summarizes the result of simulation experiment based on GNU Radio and hardware platform.

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References

  1. Omer, A.E.: Review of spectrum sensing techniques in Cognitive Radio networks. In: International Conference on Computing (2015)

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  2. Garhwal, A., Bhattacharya, P.P.: A survey on dynamic spectrum access techniques for cognitive radio. Int. J. Next Gener. Netw. (IJNGN) 3(4), 15–32 (2011)

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Acknowledgments

This paper was supported by the Hainan province key laboratory and Engineering Technology Research Center Construction Project (Grant No. gczx2014004).

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Authors and Affiliations

  1. College of Information Science and Technology, Hainan University, 58 Renmin Avenue, Haikou, 570228, Hainan, China

    Xiaoyu Tang & Baodan Chen

Authors
  1. Xiaoyu Tang
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  2. Baodan Chen
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Corresponding author

Correspondence to Xiaoyu Tang .

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Editors and Affiliations

  1. Hainan University, Hainan, China

    Mengxing Huang

  2. Simula Research Laboratory, Fornebu, Norway

    Yan Zhang

  3. Northeast Forestry University, Harbin, Heilongjiang, China

    Weipeng Jing

  4. Guangdong University of Petrochemical Technology, Maoming Shi, China

    Amjad Mehmood

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Tang, X., Chen, B. (2018). Research on Spectrum Detection Technology in Cognitive Radio. In: Huang, M., Zhang, Y., Jing, W., Mehmood, A. (eds) Wireless Internet. WICON 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-319-72998-5_31

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  • DOI: https://doi.org/10.1007/978-3-319-72998-5_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72997-8

  • Online ISBN: 978-3-319-72998-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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