Sum Statistics of Squared FTR-Based Variates

Two generalizations of the fluctuating two-ray (FTR) fading model have recently appeared in the literature. In particular, in these FTR-based models, the specular components of the complex baseband signal are modulated by the square root of either (i) the product (Cascade FTR) or (ii) the ratio of products (Ratio-Product FTR) of Gamma random variables (RVs). Leveraging the applicability of the sum of RVs in performance analysis of communications systems, this paper explores the sum statistics of these two newly introduced FTR-based RVs. More precisely, we obtain novel exact formulations for the probability density function (PDF), the cumulative distribution function (CDF), and the raw moments of the sum of independent and identically distributed (i.i.d.) squared FTR-based RVs. Moreover, we carry out a truncation error analysis for the derived PDFs and CDFs. Finally, we obtain in an exact and asymptotic manner essential performance metrics such as outage probability (OP) and symbol error probability (SEP) for a maximal-ratio combining (MRC) receiver.

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Published
2024-10-21
DOI
https://doi.org/10.1109/wimob61911.2024.10770494
Primary Topic
Control Systems and Identification
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article
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article

Sum Statistics of Squared FTR-Based Variates

Lenin Patricio Jiménez Jiménez, José Cândido Silveira Santos Filho, Eduardo Rodrigues de Lima, Gustavo Fraidenraich et al.
Control Systems and Identification
article

Sum Statistics of Squared FTR-Based Variates

Lenin Patricio Jiménez Jiménez, José Cândido Silveira Santos Filho, Eduardo Rodrigues de Lima, Gustavo Fraidenraich, Fernando Darío Almeida García
article en

Abstract

Two generalizations of the fluctuating two-ray (FTR) fading model have recently appeared in the literature. In particular, in these FTR-based models, the specular components of the complex baseband signal are modulated by the square root of either (i) the product (Cascade FTR) or (ii) the ratio of products (Ratio-Product FTR) of Gamma random variables (RVs). Leveraging the applicability of the sum of RVs in performance analysis of communications systems, this paper explores the sum statistics of these two newly introduced FTR-based RVs. More precisely, we obtain novel exact formulations for the probability density function (PDF), the cumulative distribution function (CDF), and the raw moments of the sum of independent and identically distributed (i.i.d.) squared FTR-based RVs. Moreover, we carry out a truncation error analysis for the derived PDFs and CDFs. Finally, we obtain in an exact and asymptotic manner essential performance metrics such as outage probability (OP) and symbol error probability (SEP) for a maximal-ratio combining (MRC) receiver.

Universidade Estadual de Campinas (UNICAMP) (BR)
Openalex Percentile: Top 69%
Control Systems and Identification
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Sum Statistics of Squared FTR-Based Variates — Lenin Patricio Jiménez Jiménez, José Cândido Silveira Santos Filho, et al. · (2024) | TGRS Research Map | TGRS