Abstract
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 $\eta $ - $\mu $ 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 $\eta $ - $\mu $ fading channel under mobility conditions. We incorporated the random waypoint (RWP) model with $\eta $ - $\mu $ 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.
Highlights
The performance evaluation of wireless networks is essential for improving the performance and development of nextgeneration networks such as 5G and 6G [1], [2]
The random waypoint (RWP) mobility model is used for the movement of the nodes, while the η-μ distribution models the phenomenon of physical fading for its ability to approximate the characteristics of heterogeneous channel fading in dynamic environments
The performance of the mobile network can be improved by analyzing the average bit error rate (ABER) and outage probability (OP) metrics for different fading models
Summary
The performance evaluation of wireless networks is essential for improving the performance and development of nextgeneration networks such as 5G and 6G [1], [2]. Their scenario for calculating the OP did not assume the interference and noise in deriving the novel-form expression This reveals a research gap in existing techniques for modeling the fading characteristics of wireless environments. The main contributions of this paper are as follows: 1) The η-μ generalized fading distribution that incorporates mobility characteristics for various small-scale fading effects, including non-homogeneous environments, NLOS conditions, and multipath clustering, is considered in this study. The RWP mobility model is used for the movement of the nodes, while the η-μ distribution models the phenomenon of physical fading for its ability to approximate the characteristics of heterogeneous channel fading in dynamic environments. The novel-form expressions derived in our paper reflect the characteristics of the average received power It offers them the flexibility of application to fading environments with different path loss exponents. Where fr (r) is the PDF of separation distance r between the transmitter and receiver pair
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