基于gpu的伽玛阴影k-μ衰落信道组合宏分集系统ABEP仿真与QoS分析

IF 0.6 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

Facta Universitatis-Series Electronics and Energetics Pub Date : 2021-02-28 DOI:10.2298/fuee2101089p

N. Petrovic, Selena Vasić, Dejan N. Milic, S. Suljovic, Samir Koničanin

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引用次数: 15

摘要

在本文中，我们分析了一个宏观SC分集(MD SC)接收器和两个微观MRC (MD MRC)接收器在相关γ阴影k-?衰落信道。对BDPSK和BPSK调制，采用矩量生成函数(MGF)方法计算平均误码率(ABEP)。结果的图形表示说明了系统的不同参数对其性能的影响，以及由于微观和宏观多样性相结合的好处所带来的改进。将得到的解析表达式用于支持gpu的移动网络建模、规划和仿真环境，以确定QoS (Quality of Service)参数的值。最后，提出了线性优化的方法来改善本文观测到的受衰落影响系统的QoS参数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 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.

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来源期刊

Facta Universitatis-Series Electronics and Energetics ENGINEERING, ELECTRICAL & ELECTRONIC-

自引率

16.70%

发文量

审稿时长

20 weeks