GPU-supported simulation for ABEP and QoS analysis of a combined macro diversity system in a gamma-shadowed k-μ fading channel
In this paper we have analyzed macro-diversity (MD) system with one macro SC diversity (MD SC) receiver and two micro MRC (mD MRC) receivers over correlated Gamma-shadowed k-? fading channel. The average bit error probability (ABEP) is calculated using the moment generating function (MGF) approach f...
Gespeichert in:
Veröffentlicht in: | Facta universitatis. Series Electronics and energetics 2021-03, Vol.34 (1), p.89-104 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | In this paper we have analyzed macro-diversity (MD) system with one macro SC
diversity (MD SC) receiver and two micro MRC (mD MRC) receivers over
correlated Gamma-shadowed k-? fading channel. The average bit error
probability (ABEP) is calculated using the moment generating function (MGF)
approach for BDPSK and BPSK modulations. Graphical representation of the
results illustrates the effects of different parameters of the system on its
performance as well as the improvements due to the benefits of a combined
micro and macro diversity. The obtained analytical expressions are used for
the GPU-enabled mobile network modeling, planning and simulation environment
to determine the value of Quality of Service (QoS) parameter. Finally,
linear optimization is proposed as an approach to improve the QoS parameter
of the fading-affected system observed in this paper. |
---|---|
ISSN: | 0353-3670 2217-5997 |
DOI: | 10.2298/FUEE2101089P |