电力无线专网覆盖预测系统的设计

Q. Ai, Wenjiang Feng, Weinong Wu, Yuxiang Liu, Guojin Liu, T. Bao
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引用次数: 1

摘要

摘要本文根据电力无线网络覆盖预测的实际需要,提出了一种基于真实数据和修正统计预测模型(SPM)的传播模型来预测基站的空间场强分布,提高网络规划和建设的合理性和效率。采用最小二乘法求出SPM模型参数的最优参数。在此基础上,提出了基于地理信息的覆盖预测方法。仿真结果表明,与SPM和LAP模型相比,所提方案能够有效地分析地图上任意位置基站周围的信号损失强度,从而解决基站的信号规划问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Power Wireless Private Network Coverage Prediction System
Abstract. 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.
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