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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam kajian ini, hasil dua pembolehubah rawak bebas dan tidak teragih (inid) rawak (RV) untuk taburan pudar κ-µ dan taburan pudar α-µ dipertimbangkan. Statistik produk RV telah digunakan secara meluas dalam sebilangan besar medan komunikasi, seperti saluran pudar melata, sistem keluaran berbilang input (MIMO), komunikasi radar dan radio kognitif (CR). Ungkapan bentuk rapat tepat bagi fungsi ketumpatan kebarangkalian (PDF) dan fungsi taburan kumulatif (CDF) dengan formula siri tepat untuk produk dua taburan pudar inid κ-µ dan α-µ disimpulkan dengan lebih tepat untuk mewakili ungkapan produk yang disediakan dan digeneralisasikan. model pembayang berbilang laluan komposit. Tambahan pula, kapasiti saluran ergodik (ECC) diperoleh untuk mengukur kapasiti saluran pudar maksimum. Akhirnya, secara menarik tidak seperti κ-µ, η-µ, α-µ dalam [9], [17], [18], keputusan analisis ini disahkan dengan simulasi Monte Carlo dan ia menunjukkan bahawa untuk κ-µ/α- yang disediakan Model µ, parameter bukan linear mempunyai pengaruh yang lebih penting daripada komponen berbilang laluan dalam PDF dan CDF, dan apabila nisbah antara jumlah kuasa komponen dominan dan jumlah kuasa gelombang yang tersebar adalah sama, α yang lebih tinggi boleh meningkatkan kapasiti saluran dengan ketara. saluran pudar komposit.
He HUANG
Beijing University of Posts and Telecommuncations
Chaowei YUAN
Beijing University of Posts and Telecommuncations
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Salinan
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
Salinan
@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},}
Salinan
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 -