On the Fast and Precise Evaluation of the Outage Probability of Diversity Receivers Over $\alpha -\mu $ , $\kappa -\mu $ , and $\eta -\mu $ Fading Channels

Issaid, Chaouki Ben; Alouini, Mohamed‐Slim; Tempone, Raúl

doi:10.1109/twc.2017.2777465

Cited by 26 publications

(23 citation statements)

References 30 publications

(30 reference statements)

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“…(17) The relationship of average received power Ω 0 = P t D −ϕ can then be used to simplify and rearrange (17) further to obtain…”

Section: Performance Analysis a Outage Probabilitymentioning

confidence: 99%

“…The model can predict the behavior of signals with multipath clusters, and its flexibility allows it to adapt to a wide range of field measurement data. Previous studies have characterized the η-µ fading model based on signal behavior in static conditions, providing a basic approach for these simplistic models and thereby allowing them to maintain tractability when analyzing OP, bit error rate, and channel capacity in such conditions [17]- [21]. Moreover, impact analyses of smallscale signal fluctuations in physical-layer signal propagation and end-to-end performance analyses of various complex network topologies were also described [22]- [26].…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Mobility Impact on the Performance of Heterogeneous Wireless Networks Over η – μ Fading Channels

Meesa-ard

Pattaramalai

2021

IEEE Access

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The 5G and beyond networks will intrinsically accommodate a wide range of use-case scenarios and expand the limit of legacy mobile systems. The 5G network architecture can handle the seamless operation of various wireless channels in a heterogeneous environment. The η-µ fading model is well-suited for versatile channels as it adapts to different fading behaviors in a broad-range propagation for non-line-of-sight (NLOS) circumstances. This paper evaluates the performance of heterogeneous wireless networks using η-µ fading channel under mobility conditions. We incorporated the random waypoint (RWP) model with η-µ distribution to model the dynamic behavior of non-homogeneous fading. The derivation of expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the received signal power for a mobile network in all three-dimensional topologies is extracted. Consequently, the outage probability (OP) and average bit error rate (ABER) are analyzed to quantify the performance of the mobile system. The effect of co-channel interference (CCI) is investigated based on a desired and interfering signal transmitted in mobile networks. The proposed novel-form can characterize the performance of a mobile user, and the derivation is useful for measuring the effect of noise and interference on the signal. Finally, the novel-form applicability analyzes the impact of mobility incorporated in different fading channels such as Nakagami-m, Nakagami-q (Hoyt), Rayleigh, and one-sided Gaussian distributions.INDEX TERMS Co-channel interference, η-µ distribution, generalized fading model, heterogeneous network, random waypoint mobility.

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“…(17) The relationship of average received power Ω 0 = P t D −ϕ can then be used to simplify and rearrange (17) further to obtain…”

Section: Performance Analysis a Outage Probabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluating the Mobility Impact on the Performance of Heterogeneous Wireless Networks Over η – μ Fading Channels

Meesa-ard

Pattaramalai

2021

IEEE Access

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“…To achieve the same accuracy, the number of simulation runs M * needed by an IS estimator with a bounded relative error remains bounded, independently of P . Mathematically speaking, we say that the IS estimator satisfies the bounded relative error criterion if the following statement holds [15] lim sup…”

Section: Remarkmentioning

confidence: 99%

Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms

Issaid

Alouini

Tempone

2021

IEEE Wireless Commun. Lett.

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Estimating the left tail of quadratic forms in Gaussian random vectors is of major practical importance in many applications. In this letter, we propose an efficient importance sampling estimator that is endowed with the bounded relative error property. This property significantly reduces the number of simulation runs required by the proposed estimator compared to naive Monte Carlo (MC), especially when the probability of interest is very small. Selected simulation results are presented to illustrate the efficiency of our estimator compared to naive MC as well as some of the well-known approximations.

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“…This paper focuses on outage probability, which plays an important role in network planning, designing and evaluations. There were many studies on the outage probability of different channels [12]- [14]. On different transmission problems, different authors come up with different solutions.…”

Section: Introductionmentioning

confidence: 99%

Effect of Mobile Wireless on Outage and BER Performances Over Rician Fading Channel

Yao

Wang

et al. 2020

IEEE Access

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Many researchers have analyzed the outage probability of wireless static networks over the Rician fading channel in recent years. However, few researchers consider the mobile wireless network models over the Rician fading channel environment. Due to the dynamic changing topologies of the mobile wireless networks, the methods used in the static wireless networks cannot be directly used in the mobile wireless networks. In this paper, we study the received power and the outage probability over Rician fading channel under the mobile wireless network scenarios. We analyze the Probability Density Function (pdf) of the received power and also give out a calculation formula of the outage probability of the Rician fading channel. Besides, we have considered the Random Way-Point (RWP) model and path loss exponent of onedimensional(1-D), two-dimensional(2-D) and three-dimensional(3-D) development of nodes. We compare with the influences of the system parameters on the outage probability as well as the influences of the parameters of path loss. We also use the Bit Error Ratio (BER) to evaluate this fading channel. The simulation results indicate that the outage probability is much better when compared with η − µ fading channel for the same signal in this paper. Besides, the performance of the outage probability is different for different dimension modes. Especially, the 1-D model has the best outage probability when compared with 2-D and 3-D situations. The simulation results also indicate that the maximum value of the pdf in a given range for the received power is different under the different dimensions. That is to say, for the 1-D, the range of peak value is from 5 to 10, while for the 2-D and 3D, this range is changed from 10 to 20. INDEX TERMS Mobile wireless networks, Rician fading channel, random way-point (RWP), probability density function (pdf), outage probability.

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On the Fast and Precise Evaluation of the Outage Probability of Diversity Receivers Over $\alpha -\mu $ , $\kappa -\mu $ , and $\eta -\mu $ Fading Channels

Cited by 26 publications

References 30 publications

Evaluating the Mobility Impact on the Performance of Heterogeneous Wireless Networks Over η – μ Fading Channels

Evaluating the Mobility Impact on the Performance of Heterogeneous Wireless Networks Over η – μ Fading Channels

Efficient Importance Sampling for the Left Tail of Positive Gaussian Quadratic Forms

Effect of Mobile Wireless on Outage and BER Performances Over Rician Fading Channel

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