2007IEEE Transactions on Vehicular TechnologyRequires access

Simple Efficient Methods for Generating Independent and Bivariate Nakagami- $m$ Fading Envelope Samples

Lingzhi Cao, Norman C. Beaulieu

Open publisher page 19 citations

Abstract

The Nakagami-distribution is an important fading model in wireless communications. Generation of independent and bivariate Nakagami-samples is required when studying some practical applications. However, methods for simulating Nakagami-fading channels available in the literature are complex. This paper proposes simple efficient methods for generating independent Nakagami-fading envelope samples for arbitrary values of and correlated bivariate Nakagami-fading envelope samples having a common value of m, for arbitrary values of m=0.8.

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What this paper is about

The Nakagami-distribution is an important fading model in wireless communications. Generation of independent and bivariate Nakagami-samples is required when studying some practical applications. However, methods for simulating Nakagami-fading channels available in the literature are complex. This paper proposes simple efficient methods for generating independent Nakagami-fading envelope samples for arbitrary values of and correlated bivariate Nakagami-fading envelope samples having a common value of m, for arbitrary values of m=0.8.

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Available abstract

The Nakagami-distribution is an important fading model in wireless communications. Generation of independent and bivariate Nakagami-samples is required when studying some practical applications. However, methods for simulating Nakagami-fading channels available in the literature are complex. This paper proposes simple efficient methods for generating independent Nakagami-fading envelope samples for arbitrary values of and correlated bivariate Nakagami-fading envelope samples having a common value of m, for arbitrary values of m=0.8.

Key concepts: Nakagami distribution, Fading, Bivariate analysis, Envelope (radar), Fading distribution, Mathematics, Weibull fading, Algorithm

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