Spectrum sharing systems capacity under η-μ fading environments

This paper presents general, closed-form, and exact expressions for cumulative distribution function, probability density function and average value for the ratio of independent η-μ random variables, with arbitrary parameters. More specifically, the outage capacity with peak interference power const...

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Bibliographic Details
Published in:Journal of the Franklin Institute 2019-08, Vol.356 (12), p.6741-6756
Main Authors: Mota, Kim Moraes, Alvarenga Silva, Wanessa de, Ozelim, Luan Carlos de S.M., Vale, Leticia Moreira, Dias, Ugo Silva, Rathie, Pushpa Narayan
Format: Article
Language:English
Subjects:
Cognitive radio
Computer simulation
Distribution functions
Fading
Independent variables
Interference
Monte Carlo simulation
Probability density functions
Radio systems
Random variables
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Summary:This paper presents general, closed-form, and exact expressions for cumulative distribution function, probability density function and average value for the ratio of independent η-μ random variables, with arbitrary parameters. More specifically, the outage capacity with peak interference power constraint, the delay-limited capacity, and the ergodic capacity considering constraints on the interference power are derived for non-homogeneous environments containing multipath waves clusters. Numerical curves are presented to evaluate the effects of the general fading variables in spectrum sharing systems. Besides, the results are validated by performing Monte-Carlo simulations. Notably, the provided results find important applications in cognitive radio systems considering the spectrum sharing approach and channels modeled by η-μ distribution.
ISSN:0016-0032
1879-2693
0016-0032
DOI:10.1016/j.jfranklin.2019.05.037