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Hybrid-empirical neural model for indoor/outdoor path loss calculation

机译:用于室内/室外路径损耗计算的混合实验神经模型

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Accurate prediction the coverage area provided by a given transmitting station is crucial to the efficient design of wireless communication systems. This paper presents hybrid-empirical neural model for indoor/outdoor loss calculation as alternative method to previous propagation models. Its primary advantage is the consideration many global and local parameters influencing the EM propagation. Further, it has great simulation speed that can give good base for introducing it in applications which simulation has to be finished in certain period of time.
机译:准确的预测由给定发送站提供的覆盖区域对于无线通信系统的有效设计至关重要。本文介绍了室内/室外损失计算的混合实验神经模型作为先前传播模型的替代方法。其主要优点是考虑许多影响EM传播的全局和局部参数。此外,它具有很大的仿真速度,可以提供良好的基础,用于将其介绍在仿真在一定时间段内的应用。

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