首页期刊简介编委会征稿启事出版道德声明审稿流程读者订阅论文查重联系我们English
引用本文
  • 刘 栋,杨 苹,杨 曦.利用移动终端定位和概率分布的话务量地理分布预测[J].电讯技术,2010,50(11): - .    [点击复制]
  • LIU Dong,YANG Ping,YANG Xi.Geographical Distribution Prediction of Traffic Based on Mobile Terminal Positioning and Probability Distribution[J].,2010,50(11): - .   [点击复制]
【打印本页】 【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 2224次   下载 1985 本文二维码信息
码上扫一扫!
利用移动终端定位和概率分布的话务量地理分布预测
刘栋,杨苹,杨曦
0
(华南理工大学 电力学院 广东省绿色能源技术重点实验室,广州 510640)
摘要:
为了更加实用、快速、准确地对话务量地理分布进行预测,使用CTR数据作为研究数 据,以移动终端定位技术为基础,将概率分布模型用于话务量地理分布的预测上,提出了一 种利用移动终端定位技术和概率分布模型的话务量地理分布预测方法,并通过MATLAB进行实 现。同时,该方法在利用移动终端定位技术进行计算时,还考虑了天线方向增益的影响,将 有望降低移动终端定位技术本身所产生的误差。
关键词:  无线网络规划  移动终端定位  概率分布  话务量地理分布
DOI:
基金项目:
Geographical Distribution Prediction of Traffic Based on Mobile Terminal Positioning and Probability Distribution
LIU Dong,YANG Ping,YANG Xi
(Guangdong Key Laboratory of Clean Energy Technology,School of Electric Power, South China University of Technology,Guangzhou 510640, China)
Abstract:
In order to predict the geographical distribution of traffic more prac tically, rapidly, and accurately, CTR data is used as research data and a new method based on both the technology of mobile termin al positioning and model of probability distribution is proposed and re alized by MATLAB. When the distribution is being calculated with the m obile terminal positioning technology,the effect of antenna pat tern is also considered. So it would reduce the errors caused by the technology of mobile terminal positioning itself.
Key words:  wireless network plan  terminal positioning  probability distribution  geographical distribution of traffic
安全联盟站长平台