【作者】 曹毅；

【导师】 罗斌；

【作者基本信息】 南昌大学 ， 信号与信息处理， 2010， 硕士

【摘要】 近几年,随着移动通信的飞速发展,无线通信网络的容量要越来越高,只有合理有效的小区覆盖,无线网络通信的质量才能得到保证,只有深入理解无线信号传播才能实现合理有效的控制小区覆盖,得到高精确度的电波传播预测模型。在此需求下,本人选择了无线网络覆盖预测为理论,并与实际应用相结合作为本论文研究方向的课题。本文不但介绍了电波传播理论和传播机制,而且还详细讨论了移动通信网络中经常用到的几种电波传播路径损耗预测模型,分析各种传播模型的局限性。并在广泛研读了GIS、软件工程和移动通信的相关资料,以此为基础对无线网络覆盖优化的工程应用为研究目的,将基于反演模式的电波传播模型与GIS相结合应用于实际工程中的覆盖预测,并解决相应的问题。使用微软的.NET平台及便于开发应用软件的C#语言对系统进行开发,研制和开发了基于反演模式电波传播模型的界面友好和功能完善的网络优化系统软件。本文研究工作的主要贡献和有所创新的成果如下：(1)全面的完善了基于反演模式的电波传播模型的基本原理、建模、求解的方法。使用.NET平台设计实现了基于反演模式电波传播模型的网络优化系统软件平台,以进一步推动对基于反演模式电波传播模型的研究向更深层次发展。(2)该平台以珠海市地理信息数据及无线电波的路测场强数据为例,实现了基于反演模式的覆盖优化的实际应用。更多还原

【Abstract】 With the development of the Mobile communication in recently years, the capacity demand of wireless network is increased rapidly. The communication quality of wireless network can be guaranteed only if region coverage is effectively and reasonably. Controlling the region coverage effectively can be realized and the radio waves propagation prediction model with high precision could be obtained only if wireless signal propagation is understood deeply. In this demand, I choose the theory of wireless network coverage combining with the practical application for the study direction of subject.Several kinds of traditional path loss propagation model in mobile communication system were discussed in this paper. Based on the introduction of wave propagation theory and mechanism, a systematic research in localization of these models was conducted. And study of the GIS, software engineering and mobile communications. Based on these theories the Mobile wireless network coverage optimization of engineering applications is the purpose. Combine the inverse prediction model with GIS, applied to practical projects. And solve the corresponding problems.Using Microsoft’s.NET development platform and C# language to develop this system, Research and development of the radio wave propagation model based on inverse model friendly interface and functionality improved network optimization system software. This software have Friendly interface and fully functional.The main contributions and innovations in this paper are as follows:(1) Consummating the basic principles, modeling, and solving method of the inverse prediction model for propagation loss in the cellular networks; Used.NET platform designed and implements the network planning system software based on the inverse prediction model. In order to promote the studies of inverse prediction model to a deeper level in the further.(2) The platform used the geographic information data of Zhuhai and radio waves to drive test data. Realized the inverse prediction model to coverage optimization in project.更多还原