發(fā)布時(shí)間：2018-06-09 06:40

  本文選題：無線網(wǎng)絡(luò) + 負(fù)載均衡��； 參考：《南京大學(xué)》2017年碩士論文

【摘要】：微基站技術(shù)是近年來迅速發(fā)展起來的一種網(wǎng)絡(luò)接入技術(shù)。隨著3G、4G網(wǎng)絡(luò)的迅猛發(fā)展,以及移動網(wǎng)絡(luò)寬帶化的趨勢,越來越多用戶選擇通過移動設(shè)備接入網(wǎng)絡(luò)。為滿足用戶日益增長的需求,改善熱點(diǎn)小區(qū)用戶的通信質(zhì)量,減輕宏蜂窩(Macrocell)的負(fù)載壓力,多種微基站應(yīng)運(yùn)而生。典型的微基站包括Wi-Fi、飛蜂窩(Femtocell)、微蜂窩(MicroCell)等。面對有限基站資源的分配、促發(fā)移動數(shù)據(jù)通信瓶頸等問題,負(fù)載均衡成為了無線領(lǐng)域研究的一大熱點(diǎn),基站間的協(xié)作、用戶的移動性等一系列問題等待著研究者去挑戰(zhàn)。本文針對負(fù)載均衡問題,設(shè)計(jì)實(shí)現(xiàn)了移動場景下的微基站接入算法。微基站接入算法是一種基于拍賣算法的分布式基站接入算法,用戶以其對各個(gè)基站的依賴度為競拍價(jià)向基站競拍,而各個(gè)基站選取出價(jià)最高的用戶賦予接入權(quán),以此方式實(shí)現(xiàn)微基站資源的負(fù)載均衡。我們對比了移動場景下的微基站接入算法與College、RAT-game等經(jīng)典算法的性能。實(shí)驗(yàn)表明,我們的算法其公平性指數(shù)(Jain' s fairness index)達(dá)到0.83以上,用戶丟失率達(dá)到12%以下。此外我們還提出了通過信道狀態(tài)信息數(shù)據(jù)判斷用戶移動狀態(tài)的方法,實(shí)現(xiàn)了通過非傳感器方法感知用戶移動狀態(tài)。實(shí)驗(yàn)結(jié)果表明,我們的方法可以達(dá)到96.6%的平均準(zhǔn)確率。我們將用戶動靜狀態(tài)信息應(yīng)用到微基站接入算法的接入過程,使得算法執(zhí)行時(shí)間縮短至原算法所需時(shí)間的65%以下。本文的主要工作在于:一、我們在微基站接入算法的基礎(chǔ)上,依據(jù)移動場景下的特點(diǎn)和面臨的新用戶或切換基站用戶引起的鏈?zhǔn)接绊懙葐栴}提出了打折算法,使得微基站接入算法可以適應(yīng)于移動場景,縮短了鏈?zhǔn)接绊懙挠绊戞滈L度,保證了算法在移動場景下的用戶服務(wù)質(zhì)量(QoS),使得用戶與基站的連接趨于穩(wěn)定而不會頻繁切換。二、我們針對移動場景下的基站定價(jià)問題,提出了基站重定價(jià)算法。由于微基站接入算法的特征,基站報(bào)價(jià)會在用戶的不斷拍賣中逐步提高。這導(dǎo)致移動場景中,非高峰時(shí)期的微基站定價(jià)失去調(diào)節(jié)作用。我們針對這樣的問題提出價(jià)格還原策略,使得微基站價(jià)格既能反映實(shí)時(shí)的微基站資源需求情況,又能在合理的時(shí)間回調(diào)至較低的水平。這個(gè)方法保證了微基站接入算法在移動場景中能夠長期穩(wěn)定地運(yùn)行。三、我們針對移動場景的需要,提出了利用微基站端的信道狀態(tài)信息(CSI)數(shù)據(jù),通過主成分分析的方法做降噪處理,以此數(shù)據(jù)配合邏輯回歸算法來識別用戶動靜狀態(tài)。這種方法顛覆了傳統(tǒng)的傳感器等方法對用戶設(shè)備的依賴,減少了控制信息對可用帶寬的占用,并能快速及時(shí)地反映用戶的移動狀態(tài)。
[Abstract]:Microbase station technology is a kind of network access technology developed rapidly in recent years. With the rapid development of 3G 4G network and the trend of broadband mobile network, more and more users choose to access the network through mobile devices. In order to meet the increasing demand of users, improve the communication quality of hot cell users, and reduce the load pressure of Macrocell, a variety of microbase stations emerge as the times require. Typical microbase stations include Wi-Fi, Femto cell, microcellular, and so on. In the face of the limited base station resource allocation, promote mobile data communication bottleneck and other issues, load balancing has become a hot topic in wireless research. The collaboration between base stations and the mobility of users are a series of problems waiting for researchers to challenge. In order to solve the load balancing problem, this paper designs and implements a microbase station access algorithm in mobile environment. Microbase station access algorithm is a distributed base station access algorithm based on auction algorithm. Users bid to the base station based on their dependence on each base station, and each base station selects the highest bid user to give access rights. In this way, the load balance of microbase station resources is realized. We compare the performance of microbase station access algorithm with College RAT-game algorithm in mobile scenario. Experiments show that the fairness index of our algorithm is above 0.83 and the user loss rate is below 12%. In addition, we propose a method to judge the user's mobile state by the channel state information data, and realize the sensorless sensing of the user's mobile state. The experimental results show that our method can achieve an average accuracy of 96. 6%. We apply the user static and dynamic information to the access process of the microbase station access algorithm, which reduces the execution time of the algorithm to less than 65% of the original algorithm. The main work of this paper is as follows: first, based on the microbase station access algorithm, we propose a discounted algorithm according to the characteristics of mobile scene and the chain influence caused by new users or switching base station users. The microbase station access algorithm can adapt to the mobile scene, shorten the length of the chain influence chain, ensure the QoS of the user in the mobile scene, and make the connection between the user and the base station tend to be stable without switching frequently. Secondly, we propose a base station repricing algorithm for base station pricing in mobile scenarios. Because of the characteristic of the microbase station access algorithm, the base station quotation will be improved step by step in the user's auction. This results in the off-peak micro-base station pricing loss of regulation in mobile scenarios. In order to solve this problem, we propose a price reduction strategy, which can not only reflect the resource demand of the microbase station in real time, but also reduce the price to a lower level at a reasonable time. This method ensures that the microbase station access algorithm can run stably in the mobile scene for a long time. Thirdly, according to the need of mobile scene, we propose to use the channel state information (CSI) data of the microbase station and do the noise reduction by principal component analysis (PCA) method, which can be combined with the logical regression algorithm to identify the user's static and static state. This method overturns the dependence of traditional sensors on user devices, reduces the use of available bandwidth of control information, and can quickly and timely reflect the mobile state of users.
【學(xué)位授予單位】：南京大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 童超;牛建偉;龍翔;高小鵬;;移動模型研究綜述[J];計(jì)算機(jī)科學(xué);2009年10期

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本文編號：1999408