The outage probability of mobile wireless networks over η-μ fading channel

Al-Rimawi, Ashraf; Siam, Jamal; Abdo, Ali

doi:10.1109/menacomm.2018.8371034

Cited by 5 publications

(7 citation statements)

References 13 publications

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“…Since the RWP mobility model leads to non-uniform asymptotic spatial node distributions, in which the distance distribution between transmitter and receiver can be approximated as a polynomial, the p.d.f. of the distance r can be expressed by the general form defined in [37],…”

Section: A Channel Model Between Serving Bs and Probe Msmentioning

confidence: 99%

Performance Analysis of Dynamic Downlink PPP Cellular Networks Over Generalized Fading Channels With MRC Diversity

et al. 2021

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This paper proposes novel and generalized expressions to characterize the performance of modern cellular networks under realistic user mobility behavior. The η-µ distribution is employed to derive the received power probability density function, the average bit error rate for different modulation schemes, and the coverage probability assuming a Poisson point process spatial distribution of base stations in downlink. The user is assumed to experience fading with Maximum Ratio Combining (MRC) and move according to a random way-point mobility model. To get more insights on the achivable diversity order, accurate asymptotic expressions for the coverage probability and average bit error rate are derived. The derived expressions are applicable to different widely-used fading environments, such as Rayleigh and Nakagami-m as particular cases, by an appropriate selection of the η-µ parameters. Monte Carlo simulation was used to show the validity of the proposed expressions. In addition, the generalized expressions allow the system designer to quantify the effects of user mobility on the cellular network performance, in different propagation environments, and network topologies as a function of the number of base stations and MRC branches.

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Section: A Channel Model Between Serving Bs and Probe Msmentioning

confidence: 99%

Performance Analysis of Dynamic Downlink PPP Cellular Networks Over Generalized Fading Channels With MRC Diversity

et al. 2021

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“…In the literature, several efforts have been devoted to study the mobile relay networks [20][21][22][23][24][25]. In [20,21], massive MIMO systems were studied.…”

Section: A Literature Overviewmentioning

confidence: 99%

Mixed RF-VLC Relaying Systems for High-Speed Rail Communication

2023

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In the proposed system setup, a communication link is established between base station (BS) and end-user (UE) via a relay node mounted on the high-speed train (HST). The information is conveyed over backhaul RF links between BS and relay and over VLC links between relay and UE inside the train. It is assumed that RF links are encountered with dual shadowing due to slow-moving vehicles and pedestrians. Moreover, the relay node is not able to estimate the channel information perfectly due to HST mobility. Firstly, the statistical characteristics, such as the probability density function (PDF) and cumulative distribution function of the BS-relay link, are derived under imperfect channel information. Then, the system performance is examined by deriving the two key metrics, outage probability, and average bit error rate. Furthermore, we investigate the secrecy performance of the proposed system when the RF eavesdropper overhears the link between BS and relay and the VLC eavesdropper captures the information via the relay-UE link. To this end, the secure outage probability is derived into a closed form. Our results reveal that the proposed system setup can be adopted as a network architecture for existing as well as for future HST networks.

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“…where x is the distances between the transmitter and receiver, P t is the transmit power and α is the path-loss exponent that depends on the propagation environment, according to the reference [9] the value range of α is from 2 to 5. In this paper, a mobile wireless network is considered, and the transmission distance between nodes are randomly changing due to the nodes mobility, but the transmit power is constant.…”

Section: A Signal Modelmentioning

confidence: 99%

“…We assume unity noise power (σ 2 =1), in (15). Then, it can be calculated P out referred by [9] from the cdf of the received power as…”

Section: System Performance Analysis a Outage Probabilitymentioning

confidence: 99%

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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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The outage probability of mobile wireless networks over η-μ fading channel

Cited by 5 publications

References 13 publications

Performance Analysis of Dynamic Downlink PPP Cellular Networks Over Generalized Fading Channels With MRC Diversity

Performance Analysis of Dynamic Downlink PPP Cellular Networks Over Generalized Fading Channels With MRC Diversity

Mixed RF-VLC Relaying Systems for High-Speed Rail Communication

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

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