{"title":"尼日利亚拉各斯市移动信号传播路径损耗比较分析","authors":"A. Yussuff, Olanrewaju D. Olayinka","doi":"10.46792/fuoyejet.v7i4.902","DOIUrl":null,"url":null,"abstract":"This research involves comparative analysis of mobile radio transmission path loss models in Lagos state. Lagos, coastal region within an altitude of 38m, and geographical coordinates (63.60N, 3.280E), in the rainforest area of south-western, Nigeria. The measured active base stations propagation measured parameters (for selected areas; Agbowa, Ibeju Imota, Ilupeju, and Surulere in Lagos between 2019 and 2020 from MTN-NG Microsites) recorded between frequency range of 1500- 2500MHz band with a visible line of sight (LOS) in three areas within the state. Stanford University Interim, ECC-33 and COST 231 models were adopted and optimized models were developed and their empirical outcomes revealed standard deviations (SDs) of 1.87, 1.11, and 31.78 respectively at 500m distance from the microsite of average rural areas. For the sub-urban areas, RMSEs (root mean square errors) observed were 39.11, 0.04, and 1.98 and with SD being 33.52, 0.03, and 1.69. More so, for an urban area, it was discovered that the RMSEs obtained for these three models were 34.84, 1.98 and 0.55 with SD of 29.86, 10.27 and 0.47 at same distance of 500m. The implication is that probability of an improved performance is high when optimized models is adopted compared with what is in existence.","PeriodicalId":323504,"journal":{"name":"FUOYE Journal of Engineering and Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative Analysis of Mobile Signal Propagation Path Loss in Lagos, Nigeria\",\"authors\":\"A. Yussuff, Olanrewaju D. Olayinka\",\"doi\":\"10.46792/fuoyejet.v7i4.902\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research involves comparative analysis of mobile radio transmission path loss models in Lagos state. Lagos, coastal region within an altitude of 38m, and geographical coordinates (63.60N, 3.280E), in the rainforest area of south-western, Nigeria. The measured active base stations propagation measured parameters (for selected areas; Agbowa, Ibeju Imota, Ilupeju, and Surulere in Lagos between 2019 and 2020 from MTN-NG Microsites) recorded between frequency range of 1500- 2500MHz band with a visible line of sight (LOS) in three areas within the state. Stanford University Interim, ECC-33 and COST 231 models were adopted and optimized models were developed and their empirical outcomes revealed standard deviations (SDs) of 1.87, 1.11, and 31.78 respectively at 500m distance from the microsite of average rural areas. For the sub-urban areas, RMSEs (root mean square errors) observed were 39.11, 0.04, and 1.98 and with SD being 33.52, 0.03, and 1.69. More so, for an urban area, it was discovered that the RMSEs obtained for these three models were 34.84, 1.98 and 0.55 with SD of 29.86, 10.27 and 0.47 at same distance of 500m. The implication is that probability of an improved performance is high when optimized models is adopted compared with what is in existence.\",\"PeriodicalId\":323504,\"journal\":{\"name\":\"FUOYE Journal of Engineering and Technology\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"FUOYE Journal of Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46792/fuoyejet.v7i4.902\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"FUOYE Journal of Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46792/fuoyejet.v7i4.902","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本研究涉及拉各斯州移动无线电传输路径损耗模型的比较分析。拉各斯,位于尼日利亚西南部热带雨林地区,海拔38米以内的沿海地区,地理坐标为北纬63.60度,东经3.280度。所测量的有源基站传播测量参数(用于选定区域;2019年至2020年期间,拉各斯的Agbowa、Ibeju Imota、Ilupeju和Surulere(来自MTN-NG Microsites)在该州三个地区的1500- 2500MHz频段范围内记录了可视视线(LOS)。采用Stanford University Interim模型、ECC-33模型和COST 231模型并进行优化,其实证结果显示,在距离普通农村微站点500m处,标准差(sd)分别为1.87、1.11和31.78。城郊地区的均方根误差(rmse)分别为39.11、0.04和1.98,SD分别为33.52、0.03和1.69。对于城市区域,在相同距离500m时,三种模型的rmse分别为34.84、1.98和0.55,SD分别为29.86、10.27和0.47。这意味着,与现有的模型相比,采用优化模型时提高性能的概率很高。
Comparative Analysis of Mobile Signal Propagation Path Loss in Lagos, Nigeria
This research involves comparative analysis of mobile radio transmission path loss models in Lagos state. Lagos, coastal region within an altitude of 38m, and geographical coordinates (63.60N, 3.280E), in the rainforest area of south-western, Nigeria. The measured active base stations propagation measured parameters (for selected areas; Agbowa, Ibeju Imota, Ilupeju, and Surulere in Lagos between 2019 and 2020 from MTN-NG Microsites) recorded between frequency range of 1500- 2500MHz band with a visible line of sight (LOS) in three areas within the state. Stanford University Interim, ECC-33 and COST 231 models were adopted and optimized models were developed and their empirical outcomes revealed standard deviations (SDs) of 1.87, 1.11, and 31.78 respectively at 500m distance from the microsite of average rural areas. For the sub-urban areas, RMSEs (root mean square errors) observed were 39.11, 0.04, and 1.98 and with SD being 33.52, 0.03, and 1.69. More so, for an urban area, it was discovered that the RMSEs obtained for these three models were 34.84, 1.98 and 0.55 with SD of 29.86, 10.27 and 0.47 at same distance of 500m. The implication is that probability of an improved performance is high when optimized models is adopted compared with what is in existence.