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數(shù)據(jù)挖掘在移動(dòng)通信網(wǎng)絡(luò)規(guī)劃中的應(yīng)用

發(fā)布時(shí)間:2018-08-09 17:49
【摘要】:網(wǎng)絡(luò)規(guī)劃作為通信運(yùn)營(yíng)商投資規(guī)劃的重要依據(jù),直接影響運(yùn)營(yíng)商的投資運(yùn)營(yíng)策略,并最終決定了消費(fèi)者的滿意度。中國(guó)移動(dòng)作為中國(guó)最大的通信運(yùn)營(yíng)商,在2012年明確提出了四網(wǎng)聯(lián)合規(guī)劃的要求,并制定了四網(wǎng)聯(lián)合發(fā)展的業(yè)務(wù)分流目標(biāo)。如何做好這個(gè)規(guī)劃,是中國(guó)移動(dòng)面對(duì)的一個(gè)重大課題。數(shù)據(jù)挖掘是當(dāng)前信息技術(shù)研究的熱點(diǎn)之一。通過(guò)數(shù)據(jù)挖掘可以在海量數(shù)據(jù)中發(fā)現(xiàn)有用的信息,將信息變成行動(dòng),行動(dòng)轉(zhuǎn)換成價(jià)值,并取得一定的社會(huì)效益和經(jīng)濟(jì)效益。通信運(yùn)營(yíng)商是典型的數(shù)據(jù)密集企業(yè),積累了大量寶貴的信息。因此,需要充分利用移動(dòng)通信網(wǎng)絡(luò)運(yùn)行的歷史數(shù)據(jù)和當(dāng)前數(shù)據(jù)信息,通過(guò)數(shù)據(jù)挖掘技術(shù)來(lái)發(fā)現(xiàn)網(wǎng)絡(luò)及業(yè)務(wù)運(yùn)行中的潛在需求,做好網(wǎng)絡(luò)規(guī)劃工作。在本課題的研究工作中,本人主要進(jìn)行了數(shù)據(jù)挖掘技術(shù)的研究、中國(guó)移動(dòng)目前網(wǎng)絡(luò)的情況及四網(wǎng)定位的分析、現(xiàn)有移動(dòng)網(wǎng)絡(luò)規(guī)劃方法及策略的分析、ARIMA在網(wǎng)絡(luò)預(yù)測(cè)中的應(yīng)用研究、基于信令挖掘工具的四網(wǎng)聯(lián)合規(guī)劃的方法研究,同時(shí)還應(yīng)用SWOT的分析方法,對(duì)基于數(shù)據(jù)挖掘的移動(dòng)網(wǎng)絡(luò)規(guī)劃方法的應(yīng)用在移動(dòng)網(wǎng)絡(luò)戰(zhàn)略方面的重要作用進(jìn)行了研究。通過(guò)研究,本文探索出了一套適用于四網(wǎng)聯(lián)合規(guī)劃的包括網(wǎng)絡(luò)話務(wù)預(yù)測(cè)和將用戶行為分析應(yīng)用到四網(wǎng)聯(lián)合規(guī)劃的方法,做到對(duì)于話務(wù)需求點(diǎn)的更精確定位,為中國(guó)移動(dòng)的移動(dòng)網(wǎng)絡(luò)規(guī)劃提供了技術(shù)支撐,驗(yàn)證了將數(shù)據(jù)挖掘技術(shù)應(yīng)用到移動(dòng)通信網(wǎng)絡(luò)規(guī)劃中的實(shí)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.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN929.5;TP311.13
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本文編號(hào):2174845

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