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Statistical Analysis of Wireless Fading Channels

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Artificial Intelligence and Computational Intelligence (AICI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6320))

Abstract

This paper presents new results on the statistical analysis of wireless fading channels. Exact closed-form expressions are derived for average Doppler Shift and average Doppler Spread, Probability density function of received signal’s amplitude and phase, level crossing rate and average fading interval, and probability distribution of fading interval. The utility of the new theoretical formulas, validated by Monte Carlo simulations, are briefly discussed as well.

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References

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Author information

Authors and Affiliations

  1. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

    Hao Zhang & Yong Liu

  2. College of Science, Huazhong Agricultural University, Wuhan, China

    Junxiang Gao

Authors
  1. Hao Zhang
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  2. Yong Liu
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  3. Junxiang Gao
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Editor information

Editors and Affiliations

  1. Department of Business Administration, Caritas Francis Hsu College, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

  2. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  3. Department of Computer Science, Nanjing University, 210093, Nanjing, China

    Yang Gao

  4. School of Computer, Nanjing University of Posts and Telecommunications, 210003, Nanjing, China

    Jingsheng Lei

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhang, H., Liu, Y., Gao, J. (2010). Statistical Analysis of Wireless Fading Channels. In: Wang, F.L., Deng, H., Gao, Y., Lei, J. (eds) Artificial Intelligence and Computational Intelligence. AICI 2010. Lecture Notes in Computer Science(), vol 6320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16527-6_45

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  • DOI: https://doi.org/10.1007/978-3-642-16527-6_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16526-9

  • Online ISBN: 978-3-642-16527-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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