Evaluating the Mobility Impact on the Performance of Heterogeneous Wireless Networks over η-μ Fading Channels

Journal article

Authors/Editors

SUWAT PATTARAMALAI

Strategic Research Themes

Other (Strategic Research Themes)

Publication Details

Author list: Meesa-Ard E., Pattaramalai S.

Publisher: Institute of Electrical and Electronics Engineers

Publication year: 2021

Journal: IEEE Access (2169-3536)

Volume number: 9

Start page: 65017

End page: 65032

Number of pages: 16

ISSN: 2169-3536

eISSN: 2169-3536

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105072033&doi=10.1109%2fACCESS.2021.3075702&partnerID=40&md5=3a098f250630fdebdc2f7679aa07e148

Languages: English-United States (EN-US)

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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 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. © 2013 IEEE.

Keywords

Wireless Network Channel model