陈晓勇, 吴华玲, TranMinhTri. 基于GIS的移动蜂窝网络场强预测研究[J]. 武汉大学学报 ( 信息科学版), 2011, 36(10): 1135-1139.
引用本文: 陈晓勇, 吴华玲, TranMinhTri. 基于GIS的移动蜂窝网络场强预测研究[J]. 武汉大学学报 ( 信息科学版), 2011, 36(10): 1135-1139.
CHEN Xiaoyong, WU Hualing, Tran Minh Tri. Research of Mobile Cellular Network Field Prediction Based on GIS[J]. Geomatics and Information Science of Wuhan University, 2011, 36(10): 1135-1139.
Citation: CHEN Xiaoyong, WU Hualing, Tran Minh Tri. Research of Mobile Cellular Network Field Prediction Based on GIS[J]. Geomatics and Information Science of Wuhan University, 2011, 36(10): 1135-1139.

基于GIS的移动蜂窝网络场强预测研究

Research of Mobile Cellular Network Field Prediction Based on GIS

  • 摘要: 利用GIS能将蜂窝网络数据库中空间与非空间数据相结合的优势,来提供必要的参数,以更准确地预测蜂窝网络的覆盖强度,研究设计了一种基于COST-231-Walfisch-Ikegami的GIS模型,用来预测越南胡志明市移动蜂窝网络的信号强度,该模型可以帮助确定无线电的视距和非视距情况。该模型对路径方向损失、多屏衍射损耗和阴影增益进行了更精确的预测。实验中采用的地图比例尺是1∶2 000,采用的平均楼层高度为3 m。统计结果表明,该GIS模型预测的路径损耗克服了每个基站的实测路径损耗,在市区可以用来预测微蜂窝覆盖范围。

     

    Abstract: The thesis focused on the advantages of GIS in combining spatial and non-spatial database of cellular network to produce necessary parameters that can help predicting cellular network coverage more accurate.The study developed a GIS model for predicting signal coverage of Cityphone mobile network in Hochiminh City,Vietnam based on COST-231-Walfisch-Ikegami model.The model can help determining radio-line-of-sight and non-radio-line-of-sight condition.In addition,in case of non-radio-line-of-sight condition,average building height,building separation,building width,incident radio path,and road orientation with respect to the direct radio path were produced by using GIS.In this application,orientation loss due to the road orientation with respect to the direct radio path,multiscreen diffraction loss,and shadowing gain were carried out for more accurate prediction.The maps used in the experiment is with the scale of 1∶2 000.Because there is no exact building height so the average of 3 m floor height was used.The statistical result shows that the path loss was predicted by the GIS model overcome the measured path loss of each cell station,and it can be used for microcellular coverage predicting in urban areas.

     

/

返回文章
返回