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3G空中接口负荷微观仿真的大尺度预测建模

Large Scale Predictive Modeling for Micro-Simulation of 3G Air Interface Load
课程网址: http://videolectures.net/kdd2014_radosavljevik_3G_air_interface/  
主讲教师: Dejan Radosavljevik
开课单位: 莱顿大学
开课时间: 2014-10-07
课程语种: 英语
中文简介:

本文概述了与一家大型欧洲电信运营商的无线电网络战略与设计部门共同开发的方法,以预测其3G网络中的空中接口负载,该负载用于计划网络升级和预算目的。它基于大规模智能数据分析和建模,在数千个单个无线电小区的级别上,每天可生成30,000个模型。它已被嵌入到场景模拟框架中,供没有数据挖掘经验的最终用户用来研究和模拟此复杂网络系统的行为,作为KDD流程中部署步骤的系统方法的示例。该系统在开发国家已经使用了两年,它是标准业务流程的一部分。在过去的六个月中,这家国家运营商成为了同一母公司的其他四家运营商的3G空口负载微观仿真预测模型的能力中心。

课程简介: This paper outlines the approach developed together with the Radio Network Strategy & Design Department of a large European telecom operator in order to forecast the Air-Interface load in their 3G network, which is used for planning network upgrades and budgeting purposes. It is based on large scale intelligent data analysis and modeling at the level of thousands of individual radio cells resulting in 30,000 models per day. It has been embedded into a scenario simulation framework that is used by end users not experienced in data mining for studying and simulating the behavior of this complex networked system, as an example of a systematic approach to the deployment step in the KDD process. This system is already in use for two years in the country where it was developed and it is a part of a standard business process. In the last six months this national operator became a competence center for predictive modeling for micro-simulation of 3G air interface load for four other operators of the same parent company.
关 键 词: 预测建模; 场景模拟
课程来源: 视频讲座网
数据采集: 2020-12-16:zyk
最后编审: 2020-12-16:zyk
阅读次数: 30