基于gpu的α-k- μ衰落和α-η- μ同信道干扰下智慧城市移动网络中断概率建模与仿真框架

Selena Vasić, D. Milic, N. Petrovic, S. Suljovic, Samir Koničanin
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引用次数: 1

摘要

本文对α-k-µ多径衰落和α-η-µ分布共信道干扰(CCI)存在下的选择组合(SC)接收机进行了分析。本文推导并讨论了分集接收机中衰落参数α、k和µ以及干扰参数η和支路数的中断概率(Pout)表达式。介绍了该方案的仿真环境,进行了网络建模和仿真。本文提出的通用图形处理单元(GPGPU)框架通过线性优化提高了Pout计算的效率,并允许在智能城市中提高服务质量(QoS)并降低该模型的实施成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GPU-enabled Framework for Modelling and Simulation of Outage Probability in Smart Cities Mobile Networks Limited by α-k-µ Fading and α-η-µ Co-channel Interference
In this paper we have conducted an analysis of the receiver with selection combining (SC) in the presence of α-k-µ multipath fading and α-η-µ distributed co-channel interference (CCI). An expression for outage probability (Pout) has been derived and discussed in terms of fading parameters α, k, and µ as well as interference parameter η and number of branches in a diversity receiver. Simulation environment for the proposed scenario is introduced for a network modelling and simulation. The presented General-Purpose Graphics Processing Unit (GPGPU) framework with linear optimization enhances the efficiency of Pout calculations and allows for enhancing the Quality of Service (QoS) and cost reduction of the implementation of this model in smart cities.
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