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Performance investigation of different pathloss models for a wireless communication system in Nigeria

机译:尼日利亚无线通信系统不同路径损耗模型的性能调查

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摘要

Television is an electronic communication system that is capable of transmitting, processing and receiving information by wireless medium. This work is aimed at investigating the performance of selected pathloss models for wireless communication. In this work, two TV stations were considered for investigation. The work presents a field measurement conducted at 645.00 MHz (station 1) and 698.00 MHz (station 2) in Abuja. The measurement were taken for each TV station with a handheld RF field strength spectrum analyzer and a Garmin 72H GPS receiver. In this work, we assessed the performance of ten selected pathloss models and in comparison with pathloss model based on propagation measurements taken from selected TV stations. These pathloss model were subjected to performance metrics: Mean Prediction Error (MPE) and Root Average Squared Prediction Error (RASPE) to ascertain their suitability and applicability in the environment under consideration. The RASPE is the most apparent metric for analyzing error of predictive models. The results of the prediction provide detailed error analysis of the existing pathloss models. The acceptable radio prediction value for TV is 10 dB. The lower the value, the better the performance. Besides, the ten existing prediction models gave RASPE values in excess of 10 dB. Therefore, this translates to the fact that these models do not fully predict the pathloss for TV broadcasting in Abuja.
机译:电视是一种电子通信系统,能够通过无线介质传输,处理和接收信息。这项工作旨在调查用于无线通信的所选路径损耗模型的性能。在这项工作中,考虑了两个电视台进行调查。这项工作提出了在阿布贾在645.00 MHz(1号台)和698.00 MHz(2号台)进行的现场测量。使用手持式RF场强频谱分析仪和Garmin 72H GPS接收机对每个电视台进行测量。在这项工作中,我们评估了十种选定路径损耗模型的性能,并根据从选定电视台获取的传播测量结果与路径损耗模型进行了比较。对这些路径损耗模型进行性能度量:平均预测误差(MPE)和均方根预测误差(RASPE),以确定它们在所考虑环境中的适用性和适用性。 RASPE是用于分析预测模型误差的最明显指标。预测结果提供了对现有路径损耗模型的详细误差分析。电视可接受的无线电预测值为10 dB。值越低,性能越好。此外,现有的十个预测模型给出的RASPE值超过10 dB。因此,这转化为以下事实:这些模型不能完全预测阿布贾电视广播的路径损耗。

著录项

  • 期刊名称 Heliyon
  • 作者

    O.G. Igbinosa; U.K. Okpeki;

  • 作者单位
  • 年(卷),期 2019(5),5
  • 年度 2019
  • 页码 e01656
  • 总页数 7
  • 原文格式 PDF
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