An Analysis of Ergodic Capacity Higher-Order Statistics for Multiantenna Communication System in Presence of Generalized Shadowed Fading Channel

Gvozdarev, Aleksey S.; Patralov, Pavel; Kanaev, Ilya V.

doi:10.1109/synchroinfo.2019.8814127

Cited by 3 publications

(3 citation statements)

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“…It should be noted that the problem of HoS analysis in the presence of κ − µ correlated shadowed fading has been addressed earlier in [18] and [19], [20]. But, as it was pointed out, the main goal of the research was to establish a connection between the HoS analysis and the MGF approach, which is the primary result of the paper.…”

Section: Discussionmentioning

confidence: 99%

“…one needs only confluent hypergeometric functions, which are readily implemented in almost all computational software and have many numerically efficient representations, instead of sums of Meijer G-functions (which are generally much more complex for implementation); and the derived expressions use only a single summation, rather than double (compare (12a)-(12c) with equations ( 40)-(41) in [18]). On the other hand, in [19] only qualitative simulation (i.e. no analytic results) was performed, and in [20], even though that the similar MGF approach was chosen (but in a formulation based on the results from [14]), no closed-form solution or approximations were derived.…”

Section: Discussionmentioning

confidence: 99%

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Capacity Higher-Order Statistics Analysis for $κ-μ$ Fading Channels with Correlated Shadowing

Gvozdarev

2022

Preprint

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The proposed research performs an analysis of the capacity higher-order statistics for a single-input multiple-output multiantenna wireless communication system equipped with a maximum-ratio combining scheme. It was assumed that the propagation multipath channel is described with the κ − µ fading model with the correlated dominant components. Closedform and asymptotic expressions were derived and applied to the problem of minimum capacity reliability (due to channel fluctuations, thus possible rate deterioration) and corresponding signal-to-noise ratio analysis. The performed computer simulation, verifying the correctness of the obtained expressions, along with the generalized κ − µ fading channel with correlated shadowing, assumed several specific limiting simplified cases: Rayleigh, Rician and Nakagami-m. It was shown that the signalto-noise ratio (at which minimum capacity reliability is attained) is achieved at greater values than that of simplified models, and the absolute value of this minimum can be smaller/higher than for the degenerate cases depending on the dominant components one-step correlation coefficient.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Capacity Higher-Order Statistics Analysis for $κ-μ$ Fading Channels with Correlated Shadowing

Gvozdarev

2022

Preprint

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“…Немаловажным фактором, влияющим на возможность более точной подстройки используемой модели под реальные наблюдения (как следствие, позволяющим учесть большее число эффектов в канале связи), является использование разнообразных показателей качества, описывающих функционирования системы связи. В частности, в последнее время всё возрастающий интерес привлекает математический аппарат статистик высших порядков пропускной способности [12][13][14][15][16][17][18], позволяющий оценить не только её ожидаемую величину (в зависимости от различных факторов), но и характеристики её флуктуации вследствие мгновенных флуктуаций канала.…”

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Probabilistic Analysis of Generalised Statistic Model for Multipath Channel of Simo Sistems With Fading and Correlated Shadowing

Гвоздарев¹,

Patralov²

2021

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The paper considers the problem of analysis of the information transmission process by multi-element communication systems in presence of a multipath signal propagation channel. To generalize the propagation effects, the model of the κ–μ fading channel with correlated shadowing was assumed, and the technology used for organizing a multi-element system was the SIMO system, equipped with the maximum-ration combiner of the signal on the receiving side. To describe the characteristics of the information transfer process, an approach based on the higher-order statistics of the ergodic capacity was used. Closed-form analytical expressions for arbitrary-order capacity higher-order statistics were obtained for the channel model under consideration. The behavior of the first four statistics (ergodic capacity, its reliability, skewness and kurtosis coefficients) is analyzed depending on the channel parameters (the number of multipath propagation clusters, the ratio of power of the dominant components to the total power of multipath waves, the degree of shadowing of the dominant components, and the shadowing correlation coefficient). Within the framework of the study, 4 distinct situations of the assumed channel model behavior were considered, which significantly differ in their properties. It is noted that, in contrast to the capacity, its higher-order statistics are significantly more sensitive to the channel parameters and, as a result, are more significant indicators of fluctuations in the information transfer rate within the communication channel. The existence of a pronounced extremum (minimum) of the reliability ergodic capacity dependence from the signal-to-noise ratio was established. It should be accounted for in practical applications, when the requirements of the signal-to-noise ratio that guarantees the desired communication link quality are set.

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Capacity Higher-Order Statistics Analysis for κ − µ Fading Channels with Correlated Shadowing

Gvozdarev

2021

2021 4th International Conference on Advanced Communication Technologies and Networking (CommNet)

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An Analysis of Ergodic Capacity Higher-Order Statistics for Multiantenna Communication System in Presence of Generalized Shadowed Fading Channel

Cited by 3 publications

References 10 publications

Capacity Higher-Order Statistics Analysis for $κ-μ$ Fading Channels with Correlated Shadowing

Capacity Higher-Order Statistics Analysis for $κ-μ$ Fading Channels with Correlated Shadowing

Probabilistic Analysis of Generalised Statistic Model for Multipath Channel of Simo Sistems With Fading and Correlated Shadowing

Capacity Higher-Order Statistics Analysis for κ − µ Fading Channels with Correlated Shadowing

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