【摘要】：隨著智能終端的迅速發(fā)展和移動(dòng)應(yīng)用的豐富多樣化,移動(dòng)互聯(lián)網(wǎng)取得了巨大的成功。與此同時(shí),伴隨著運(yùn)營(yíng)商淪為傳輸管道和信令風(fēng)暴的產(chǎn)生。運(yùn)營(yíng)商如何面對(duì)海嘯式的數(shù)據(jù)對(duì)移動(dòng)網(wǎng)絡(luò)的沖擊,提高網(wǎng)絡(luò)承載力,尤其是承載用戶最多的GPRS網(wǎng)絡(luò)仍舊是研究的重點(diǎn)。 本文從應(yīng)用行為的角度出發(fā),在安卓手機(jī)平臺(tái)上研究即時(shí)通信類、微博類和網(wǎng)頁(yè)瀏覽類應(yīng)用的網(wǎng)絡(luò)行為特征。分析應(yīng)用在多種聯(lián)網(wǎng)方式、多種場(chǎng)景交互下的數(shù)據(jù),建立流程分析模型和流量資源開(kāi)銷模型,為移動(dòng)網(wǎng)絡(luò)的優(yōu)化提供了理論支持。 應(yīng)用行為如心跳、頻繁短接和小流量等數(shù)據(jù)包傳輸造成了無(wú)線網(wǎng)絡(luò)資源的濫用。為了深入研究應(yīng)用對(duì)網(wǎng)絡(luò)的資源消耗,量化應(yīng)用對(duì)信道資源的占用。論文通過(guò)分析應(yīng)用在線并且無(wú)主動(dòng)交互狀態(tài)下的心跳行為,在GPRS網(wǎng)絡(luò)環(huán)境下采集終端上各場(chǎng)景數(shù)據(jù),結(jié)合心跳消息對(duì)無(wú)線信道資源的占用原理,評(píng)估CCCH資源消耗,建立相應(yīng)分析模型。研究得出心跳的周期長(zhǎng)短,客戶端維持心跳的種類對(duì)CCCH的資源消耗至關(guān)重要。 最后,論文基于應(yīng)用的心跳機(jī)制對(duì)無(wú)線信道的消耗影響,介紹了從應(yīng)用基礎(chǔ)層考慮的統(tǒng)一心跳推送優(yōu)化方案。通過(guò)編程仿真不同場(chǎng)景下的應(yīng)用心跳行為,比較統(tǒng)一心跳推送機(jī)制和非統(tǒng)一心跳機(jī)制對(duì)無(wú)線網(wǎng)絡(luò)的資源消耗,驗(yàn)證方案的優(yōu)越性,有效地減少了高頻次、小流量心跳數(shù)據(jù)包對(duì)信令的沖擊,為提高無(wú)線網(wǎng)絡(luò)對(duì)數(shù)據(jù)業(yè)務(wù)的承載力提供了一定研究基礎(chǔ)。
[Abstract]:With the rapid development of intelligent terminals and the rich diversity of mobile applications, mobile Internet has achieved great success. At the same time, with the operators reduced to transmission pipeline and signaling storm. How operators face the impact of tsunami data on mobile networks and improve the network carrying capacity, especially the GPRS network with the most users is still the focus of research. From the point of view of application behavior, this paper studies the network behavior characteristics of instant messaging, Weibo and web browsing applications on Android mobile platform. This paper analyzes the data applied in various networking modes and scenarios, and establishes a flow analysis model and a traffic resource overhead model, which provides theoretical support for the optimization of mobile networks. Application behavior, such as heartbeat, frequent short connection and small traffic, causes abuse of wireless network resources. In order to study the resource consumption of application to the network deeply, quantize the channel resource occupation of the application. By analyzing the heartbeat behavior in the online and non-active interactive state, the paper collects the scene data on the terminal in the GPRS network environment, and evaluates the CCCH resource consumption by combining the principle of the heartbeat message occupying the wireless channel resource. The corresponding analysis model is established. It is concluded that the duration of heartbeat and the type of heartbeat maintained by clients are very important to the resource consumption of CCCH. Finally, based on the effect of application heartbeat mechanism on wireless channel consumption, this paper introduces a unified heartbeat push optimization scheme considered from the application foundation layer. Through programming simulation of the application heartbeat behavior in different scenarios, the paper compares the resource consumption of wireless network by unified heartbeat push mechanism and non-unified heartbeat mechanism, verifies the superiority of the scheme and effectively reduces the high frequency. The impact of small heartbeat packets on signaling provides a basis for improving the capacity of wireless networks for data services.
【學(xué)位授予單位】：北京郵電大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TP393.01;TN929.5

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