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首页> 外文期刊>American Journal of Software Engineering and Applications >Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area
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Performance Evaluation of Hata-Davidson Pathloss Model Tuning Approaches for a Suburban Area

机译:Hata-Davidson Pathloss模型调整方法在郊区的性能评估

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In this paper, comparative study of RMSE-base tuning and multi-parameter-based tuning of Hata-Davidson pathloss model for a suburban area is presented. The study was based on field measurement of received signal strength carried out in a suburban area for a GSM (Global System for Mobile communication) network that operates in the 1800MHz frequency band. The results show that multi-parameter-tuned Hata-Davidson model has better prediction accuracy of 98.70720432% and RMSE of 2.177522885 dB as against the RMSE-tuned Hata-Davidson model with prediction accuracy of 97.42722692% and RMSE of 4.256897001dB. However, the RMSE is quite simple and easier to implement even in embedded systems and systems with limited resource.
机译:本文对郊区基于Hata-Davidson路径损失模型的基于RMSE的调整和基于多参数的调整进行了比较研究。该研究基于在郊区对在1800MHz频段工作的GSM(全球移动通信系统)网络进行的接收信号强度的现场测量。结果表明,多参数调谐的Hata-Davidson模型的预测精度较高,为98.70720432%,RMSE为2.177522885 dB,而RMSE调谐的Hata-Davidson模型的预测精度为97.42722692%,RMSE为4.256897001dB。但是,即使在嵌入式系统和资源有限的系统中,RMSE也相当简单且易于实现。

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