The α-κ-μ Shadowed Fading Distribution: Statistical Characterization and Applications
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| Main Authors: | , , , |
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| Format: | Preprint |
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2019
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| _version_ | 1866910674987253760 |
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| author | Ramirez-Espinosa, Pablo Moualeu, Jules M. da Costa, Daniel Benevides Lopez-Martinez, F. Javier |
| author_facet | Ramirez-Espinosa, Pablo Moualeu, Jules M. da Costa, Daniel Benevides Lopez-Martinez, F. Javier |
| contents | We introduce the α-κ-μ shadowed (α-KMS) fading distribution as a natural generalization of the versatile α-κ-μ and α-η-μ distributions. The α-KMS fading distribution unifies a wide set of fading distributions, as it includes the α-κ-μ, α- η-μ, α-μ, Weibull, κ-μ shadowed, Rician shadowed, κ-μ and η- μ distributions as special cases, together with classical models like Rice, Nakagami-m, Hoyt, Rayleigh and one-sided Gaussian. Notably, the α-KMS distribution reduces to a finite mixture of α-μ distributions when the fading parameters μ and m take positive integer values, so that performance analysis over α-KMS fading channels can be tackled by leveraging previous (existing) results in the literature for the simpler α-μ case. As application examples, important performance metrics like the outage probability and average channel capacity are analyzed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1904_05587 |
| institution | arXiv |
| publishDate | 2019 |
| record_format | arxiv |
| spellingShingle | The α-κ-μ Shadowed Fading Distribution: Statistical Characterization and Applications Ramirez-Espinosa, Pablo Moualeu, Jules M. da Costa, Daniel Benevides Lopez-Martinez, F. Javier Information Theory We introduce the α-κ-μ shadowed (α-KMS) fading distribution as a natural generalization of the versatile α-κ-μ and α-η-μ distributions. The α-KMS fading distribution unifies a wide set of fading distributions, as it includes the α-κ-μ, α- η-μ, α-μ, Weibull, κ-μ shadowed, Rician shadowed, κ-μ and η- μ distributions as special cases, together with classical models like Rice, Nakagami-m, Hoyt, Rayleigh and one-sided Gaussian. Notably, the α-KMS distribution reduces to a finite mixture of α-μ distributions when the fading parameters μ and m take positive integer values, so that performance analysis over α-KMS fading channels can be tackled by leveraging previous (existing) results in the literature for the simpler α-μ case. As application examples, important performance metrics like the outage probability and average channel capacity are analyzed. |
| title | The α-κ-μ Shadowed Fading Distribution: Statistical Characterization and Applications |
| topic | Information Theory |
| url | https://arxiv.org/abs/1904.05587 |