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Statistical Approach for Performance Analysis of Multipath Scattering Environment

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Abstract

In realistic scenarios, multipath scattering environments usually require an approach which can easily model signal behavior. We have considered a Rayleigh multipath scattering channel. The multipath scattering environment captures degradation of signals in fading channels. In this paper, performance of the channel is investigated through the distribution of mutual information in the multipath scattering channel using matrix method. The probability density function for multipath scattering channels is still a developing area of research. The need of the hour is performance evaluation of these communication links in an efficient manner. By using techniques of probability theory, the variance of mutual information is derived for multiple cases based on fading environment. In this paper, we have considered a matrix based multipath scattering model for communication link. We have derived closed-form expression for mutual information in a multipath scattering channel. The matrix method is used to substitute this effect in terms of the Gaussian distribution. This substitution will prove to be very accurate for different cases as analyzed in this paper.

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Authors and Affiliations

  1. Computer Science and Engineering Department, National Institute of Technology, Hamirpur, Himachal Pradesh, India

    Arvind Dhaka & Siddhartha Chauhan

  2. Department of Electrical and Computer Engineering, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA, 94132, USA

    Vidhyacharan Bhaskar

  3. University of Information Science and Technology, Ohrid, Macedonia

    Amita Nandal

Authors
  1. Arvind Dhaka
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  2. Siddhartha Chauhan
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  3. Vidhyacharan Bhaskar
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  4. Amita Nandal
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Correspondence to Vidhyacharan Bhaskar.

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Dhaka, A., Chauhan, S., Bhaskar, V. et al. Statistical Approach for Performance Analysis of Multipath Scattering Environment. Wireless Pers Commun 98, 743–757 (2018). https://doi.org/10.1007/s11277-017-4893-9

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  • DOI: https://doi.org/10.1007/s11277-017-4893-9

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