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|Type:||Artigo de periódico|
|Title:||Highly accurate eta-mu approximation to the sum of M independent nonidentical Hoyt variates|
|Abstract:||Sums of Hoyt random variables occur in several wireless communication applications. Notwithstanding its practical interest, no closed-form expression exists for the sum statistics, which must be often evaluated via intricate multifold numerical integration. In this letter, we use the eta - mu distribution to approximate the distribution of the sum of M independent, nonidentically distributed Hoyt random variables having arbitrary mean powers and arbitrary fading degrees. To this end, appropriate eta - mu distribution parameters are derived. Our results show that the differences between exact and approximate statistical curves are almost imperceptible.|
|Editor:||Ieee-inst Electrical Electronics Engineers Inc|
|Appears in Collections:||Artigos e Materiais de Revistas Científicas - Unicamp|
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