数据挖掘在移动通信网络规划中的应用
发布时间：2018-08-09 17:49
【摘要】：网络规划作为通信运营商投资规划的重要依据,直接影响运营商的投资运营策略,并最终决定了消费者的满意度。中国移动作为中国最大的通信运营商,在2012年明确提出了四网联合规划的要求,并制定了四网联合发展的业务分流目标。如何做好这个规划,是中国移动面对的一个重大课题。数据挖掘是当前信息技术研究的热点之一。通过数据挖掘可以在海量数据中发现有用的信息,将信息变成行动,行动转换成价值,并取得一定的社会效益和经济效益。通信运营商是典型的数据密集企业,积累了大量宝贵的信息。因此,需要充分利用移动通信网络运行的历史数据和当前数据信息,通过数据挖掘技术来发现网络及业务运行中的潜在需求,做好网络规划工作。在本课题的研究工作中,本人主要进行了数据挖掘技术的研究、中国移动目前网络的情况及四网定位的分析、现有移动网络规划方法及策略的分析、ARIMA在网络预测中的应用研究、基于信令挖掘工具的四网联合规划的方法研究,同时还应用SWOT的分析方法,对基于数据挖掘的移动网络规划方法的应用在移动网络战略方面的重要作用进行了研究。通过研究,本文探索出了一套适用于四网联合规划的包括网络话务预测和将用户行为分析应用到四网联合规划的方法,做到对于话务需求点的更精确定位,为中国移动的移动网络规划提供了技术支撑,验证了将数据挖掘技术应用到移动通信网络规划中的实用性和有效性。
[Abstract]:Network planning, as an important basis for investment planning of communication operators, directly affects the investment and operation strategies of operators, and ultimately determines the satisfaction of consumers. China Mobile, as the largest telecom operator in China, put forward the requirement of joint planning of four networks in 2012, and formulated the service diversion target of joint development of four networks. How to do a good job of this plan, is a major issue facing China Mobile. Data mining is one of the hotspots in information technology research. Through data mining, useful information can be found in massive data, information can be turned into action, action can be converted into value, and certain social and economic benefits can be obtained. Communication operators are typical data-intensive enterprises, accumulated a lot of valuable information. Therefore, it is necessary to make full use of the historical data and current data information of mobile communication network, to discover the potential demand in network and business operation through data mining technology, and to do a good job of network planning. In the research work of this subject, I have mainly carried on the research of the data mining technology, the current network situation of China Mobile and the analysis of the location of the four networks, the analysis of the existing mobile network planning method and strategy, and the application research of Arima in the network forecast. This paper studies the method of joint planning of four networks based on signaling mining tools, and studies the important role of mobile network planning method based on data mining in mobile network strategy by using the analysis method of SWOT. Through the research, this paper explores a set of methods including network traffic prediction and the application of user behavior analysis to the four-network joint planning, which is suitable for the four-network joint planning, so as to achieve a more accurate location of the traffic demand points. It provides technical support for mobile network planning of China Mobile, and verifies the practicability and effectiveness of applying data mining technology to mobile communication network planning.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP311.13
，
本文编号：2174845
[Abstract]:Network planning, as an important basis for investment planning of communication operators, directly affects the investment and operation strategies of operators, and ultimately determines the satisfaction of consumers. China Mobile, as the largest telecom operator in China, put forward the requirement of joint planning of four networks in 2012, and formulated the service diversion target of joint development of four networks. How to do a good job of this plan, is a major issue facing China Mobile. Data mining is one of the hotspots in information technology research. Through data mining, useful information can be found in massive data, information can be turned into action, action can be converted into value, and certain social and economic benefits can be obtained. Communication operators are typical data-intensive enterprises, accumulated a lot of valuable information. Therefore, it is necessary to make full use of the historical data and current data information of mobile communication network, to discover the potential demand in network and business operation through data mining technology, and to do a good job of network planning. In the research work of this subject, I have mainly carried on the research of the data mining technology, the current network situation of China Mobile and the analysis of the location of the four networks, the analysis of the existing mobile network planning method and strategy, and the application research of Arima in the network forecast. This paper studies the method of joint planning of four networks based on signaling mining tools, and studies the important role of mobile network planning method based on data mining in mobile network strategy by using the analysis method of SWOT. Through the research, this paper explores a set of methods including network traffic prediction and the application of user behavior analysis to the four-network joint planning, which is suitable for the four-network joint planning, so as to achieve a more accurate location of the traffic demand points. It provides technical support for mobile network planning of China Mobile, and verifies the practicability and effectiveness of applying data mining technology to mobile communication network planning.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP311.13
，
本文编号：2174845
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