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Design of Power Wireless Private Network Coverage Prediction System

机译:电力无线专用网络覆盖预测系统设计

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In this paper, according to the practical needs of the electric power wireless network coverage prediction, a propagation model based on real data and revised statistical prediction model (SPM) is proposed to predict the spatial field intensity distribution of the base station and improve the rationality and efficiency of the network planning and construction. The optimal parameters of SPM model parameters are obtained by least square method. On this basis, the coverage prediction with geographic information is proposed. The simulation results show that compared with SPM and LAP model, the proposed scheme can effectively analyze the signal loss intensity around the base station at any location in the map, so as to solve the signal planning problem of the base station.
机译:本文根据电力无线网络覆盖预测的实际需求,提出了一种基于实际数据和修改的统计预测模型(SPM)的传播模型,以预测基站的空间场强度分布并提高合理性和网络规划与施工效率。通过最小二乘法获得SPM模型参数的最佳参数。在此基础上,提出了利用地理信息的覆盖预测。仿真结果表明,与SPM和LAP模型相比,该方案可以在地图中的任何位置有效地分析基站周围的信号损耗强度,以解决基站的信号规划问题。

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