The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Neste estudo, é considerado o produto de duas variáveis aleatórias (RVs) independentes e não idênticas (inid) para distribuição de desvanecimento κ-µ e distribuição de desvanecimento α-µ. As estatísticas do produto de RVs têm sido amplamente aplicadas em um grande número de campos de comunicações, como canais de desvanecimento em cascata, sistemas de múltiplas entradas e múltiplas saídas (MIMO), comunicações de radar e rádios cognitivos (CR). Expressões exatas de forma aproximada da função de densidade de probabilidade (PDF) e função de distribuição cumulativa (CDF) com fórmulas de série exatas para o produto de duas distribuições de desvanecimento inid κ-µ e α-µ são deduzidas com mais precisão para representar as expressões de produto fornecidas e generalizadas modelos compostos de sombreamento multipercurso. Além disso, a capacidade ergódica do canal (ECC) é obtida para medir a capacidade máxima do canal com desvanecimento. Por fim, curiosamente ao contrário de κ-µ, η-µ, α-µ em [9], [17], [18], estes resultados analíticos são validados com simulações de Monte Carlo e mostram que para κ-µ/α- fornecidos modelo μ, o parâmetro não linear tem influência mais importante do que o componente multipercurso em PDF e CDF, e quando a relação entre a potência total dos componentes dominantes e a potência total das ondas espalhadas é a mesma, α mais alto pode melhorar significativamente a capacidade do canal em relação ao canais de desvanecimento compostos.
He HUANG
Beijing University of Posts and Telecommuncations
Chaowei YUAN
Beijing University of Posts and Telecommuncations
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He HUANG, Chaowei YUAN, "Ergodic Capacity of Composite Fading Channels in Cognitive Radios with Series Formula for Product of κ-µ and α-µ Fading Distributions" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 4, pp. 458-466, April 2020, doi: 10.1587/transcom.2019EBP3132.
Abstract: In this study, product of two independent and non-identically distributed (i.n.i.d.) random variables (RVs) for κ-µ fading distribution and α-µ fading distribution is considered. The statistics of the product of RVs has been broadly applied in a large number of communications fields, such as cascaded fading channels, multiple input multiple output (MIMO) systems, radar communications and cognitive radios (CR). Exact close-form expressions of probability density function (PDF) and cumulative distribution function (CDF) with exact series formulas for the product of two i.n.i.d. fading distributions κ-µ and α-µ are deduced more accurately to represent the provided product expressions and generalized composite multipath shadowing models. Furthermore, ergodic channel capacity (ECC) is obtained to measure maximum fading channel capacity. At last, interestingly unlike κ-µ, η-µ, α-µ in [9], [17], [18], these analytical results are validated with Monte Carlo simulations and it shows that for provided κ-µ/α-µ model, non-linear parameter has more important influence than multipath component in PDF and CDF, and when the ratio between the total power of the dominant components and the total power of the scattered waves is same, higher α can significantly improve channel capacity over composite fading channels.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2019EBP3132/_p
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@ARTICLE{e103-b_4_458,
author={He HUANG, Chaowei YUAN, },
journal={IEICE TRANSACTIONS on Communications},
title={Ergodic Capacity of Composite Fading Channels in Cognitive Radios with Series Formula for Product of κ-µ and α-µ Fading Distributions},
year={2020},
volume={E103-B},
number={4},
pages={458-466},
abstract={In this study, product of two independent and non-identically distributed (i.n.i.d.) random variables (RVs) for κ-µ fading distribution and α-µ fading distribution is considered. The statistics of the product of RVs has been broadly applied in a large number of communications fields, such as cascaded fading channels, multiple input multiple output (MIMO) systems, radar communications and cognitive radios (CR). Exact close-form expressions of probability density function (PDF) and cumulative distribution function (CDF) with exact series formulas for the product of two i.n.i.d. fading distributions κ-µ and α-µ are deduced more accurately to represent the provided product expressions and generalized composite multipath shadowing models. Furthermore, ergodic channel capacity (ECC) is obtained to measure maximum fading channel capacity. At last, interestingly unlike κ-µ, η-µ, α-µ in [9], [17], [18], these analytical results are validated with Monte Carlo simulations and it shows that for provided κ-µ/α-µ model, non-linear parameter has more important influence than multipath component in PDF and CDF, and when the ratio between the total power of the dominant components and the total power of the scattered waves is same, higher α can significantly improve channel capacity over composite fading channels.},
keywords={},
doi={10.1587/transcom.2019EBP3132},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Ergodic Capacity of Composite Fading Channels in Cognitive Radios with Series Formula for Product of κ-µ and α-µ Fading Distributions
T2 - IEICE TRANSACTIONS on Communications
SP - 458
EP - 466
AU - He HUANG
AU - Chaowei YUAN
PY - 2020
DO - 10.1587/transcom.2019EBP3132
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2020
AB - In this study, product of two independent and non-identically distributed (i.n.i.d.) random variables (RVs) for κ-µ fading distribution and α-µ fading distribution is considered. The statistics of the product of RVs has been broadly applied in a large number of communications fields, such as cascaded fading channels, multiple input multiple output (MIMO) systems, radar communications and cognitive radios (CR). Exact close-form expressions of probability density function (PDF) and cumulative distribution function (CDF) with exact series formulas for the product of two i.n.i.d. fading distributions κ-µ and α-µ are deduced more accurately to represent the provided product expressions and generalized composite multipath shadowing models. Furthermore, ergodic channel capacity (ECC) is obtained to measure maximum fading channel capacity. At last, interestingly unlike κ-µ, η-µ, α-µ in [9], [17], [18], these analytical results are validated with Monte Carlo simulations and it shows that for provided κ-µ/α-µ model, non-linear parameter has more important influence than multipath component in PDF and CDF, and when the ratio between the total power of the dominant components and the total power of the scattered waves is same, higher α can significantly improve channel capacity over composite fading channels.
ER -