【摘要】：隨著大規(guī)模無線通信系統(tǒng)的廣泛應(yīng)用,用戶以及接入點(diǎn)的空間位置往往并非完全規(guī)則部署。由于無線Ad-Hoc網(wǎng)絡(luò)具有良好的自組織性,動(dòng)態(tài)拓?fù)湫约盁o中心性使其有迅速組網(wǎng),快速部署等優(yōu)點(diǎn),成為國內(nèi)外研究者的研究熱點(diǎn)。無線Ad-Hoc網(wǎng)絡(luò)中接收機(jī)接收信號(hào)的強(qiáng)度以及所承受的干擾強(qiáng)度都直接依賴于網(wǎng)絡(luò)中節(jié)點(diǎn)的空間位置,無線Ad-Hoc網(wǎng)絡(luò)的節(jié)點(diǎn)空間拓?fù)浣Y(jié)構(gòu)及其變動(dòng)成為影響網(wǎng)絡(luò)性能的關(guān)鍵。因此本文著重研究無線Ad-Hoc網(wǎng)絡(luò)平面移動(dòng)模型及時(shí)延,并分析了無線Ad-Hoc網(wǎng)絡(luò)在通信過程中的干擾,最終通過網(wǎng)絡(luò)容量來評(píng)價(jià)模型及網(wǎng)絡(luò)的性能。在建立平面移動(dòng)模型時(shí),無線Ad-Hoc網(wǎng)絡(luò)基于全雙工雙向通信系統(tǒng)(BFD)并采用IEEE802.11 DCF(RTS/CTS模式)標(biāo)準(zhǔn)。本文將無線Ad-Hoc網(wǎng)絡(luò)分解為若干鏈路即網(wǎng)絡(luò)中每兩個(gè)節(jié)點(diǎn)組成一組節(jié)點(diǎn)對(duì),節(jié)點(diǎn)對(duì)間的傳輸采用雙向的多輸入多輸出技術(shù)(Two-Way MIMO)。本文通過節(jié)點(diǎn)間的距離定義通信狀態(tài),以連續(xù)兩次運(yùn)動(dòng)的角度差判斷運(yùn)動(dòng)方向,計(jì)算出不同通信狀態(tài)的概率分布函數(shù)從而確立了無線Ad-Hoc網(wǎng)絡(luò)的平面移動(dòng)模型。在分析移動(dòng)模型時(shí)延時(shí),本文運(yùn)用了二維Markov模型及排隊(duì)理論,其中二維Markov模型中每個(gè)狀態(tài)由嘗試傳輸次數(shù)與競爭窗口大小兩個(gè)指標(biāo)構(gòu)成,在進(jìn)行信道競爭時(shí)采用M/G/1排隊(duì)理論。最終得到了移動(dòng)模型的平均時(shí)延并對(duì)其進(jìn)行了模擬分析。而在干擾評(píng)估中,提出兩種干擾評(píng)估方法,即節(jié)點(diǎn)干擾評(píng)估法和鏈路干擾評(píng)估法。其中節(jié)點(diǎn)干擾評(píng)估以節(jié)點(diǎn)對(duì)中的接收節(jié)點(diǎn)為研究對(duì)象,并以其為中心建立干擾評(píng)估范圍,在干擾評(píng)估范圍中搜索可能對(duì)其產(chǎn)生干擾的發(fā)送節(jié)點(diǎn)。在鏈路干擾評(píng)估中對(duì)網(wǎng)絡(luò)中節(jié)點(diǎn)分為不同集合:發(fā)送節(jié)點(diǎn)集、接收節(jié)點(diǎn)集、重傳發(fā)送節(jié)點(diǎn)集、重傳接收節(jié)點(diǎn)集,分析發(fā)送端與接收端的鏈路進(jìn)行干擾評(píng)估。本文推導(dǎo)出無線Ad-Hoc網(wǎng)絡(luò)中干擾的概率分布函數(shù)并計(jì)算了SIR值。本文建立的無線Ad-Hoc網(wǎng)絡(luò)平面移動(dòng)模型及干擾分布函數(shù)最終通過網(wǎng)絡(luò)容量進(jìn)行綜合分析,因?yàn)闊o線Ad-Hoc網(wǎng)絡(luò)的傳輸容量是保證網(wǎng)絡(luò)服務(wù)質(zhì)量的關(guān)鍵性質(zhì)之一。本文以中斷概率、數(shù)據(jù)包到達(dá)率和網(wǎng)絡(luò)時(shí)延作為主要指標(biāo)推導(dǎo)出了基于全雙工(BFD)雙向移動(dòng)Ad-Hoc網(wǎng)絡(luò)的傳輸容量表達(dá)式。通過數(shù)值模擬驗(yàn)證無線Ad-Hoc網(wǎng)絡(luò)平面移動(dòng)模型及干擾分析的有效性及普遍性。
[Abstract]:With the wide application of large-scale wireless communication systems, the spatial location of users and access points is often not fully regular deployment. Because of its good self-organization, dynamic topology and non-centrality, wireless Ad-Hoc network has the advantages of rapid networking and rapid deployment, so it has become a research hotspot at home and abroad. The intensity of receiver received signals and the intensity of interference in wireless Ad-Hoc networks are directly dependent on the spatial location of nodes in the network. The spatial topology of nodes in wireless Ad-Hoc networks and their changes are the key factors affecting the performance of the networks. Therefore, this paper focuses on the planar mobile model and delay of wireless Ad-Hoc network, analyzes the interference of wireless Ad-Hoc network in the communication process, and finally evaluates the performance of the model and network through network capacity. When building the planar mobile model, the wireless Ad-Hoc network is based on the full duplex two-way communication system (BFD) and adopts the IEEE802.11 DCF (RTS/CTS mode) standard. In this paper, the wireless Ad-Hoc network is decomposed into several links, that is, each two nodes in the network form a set of node pairs. The transmission between node pairs is based on bi-directional multiple-input and multiple-output (Two-Way MIMO).) technology. In this paper, the communication state is defined by the distance between nodes, the direction of motion is judged by the angle difference of two successive motions, the probability distribution function of different communication states is calculated, and the planar moving model of wireless Ad-Hoc network is established. In analyzing the delay of the mobile model, this paper applies the two-dimensional Markov model and queuing theory, in which each state in the two-dimensional Markov model is composed of two indexes: the number of attempts to transmit and the size of the competing window. M/G/1 queuing theory is used in channel competition. Finally, the average delay of the mobile model is obtained and simulated. In the process of interference evaluation, two methods are proposed, namely, node interference evaluation and link interference evaluation. The node interference evaluation takes the receiving node in the node pair as the research object, and establishes the interference evaluation range with it as the center, and searches for the sending node that may interfere with it in the interference evaluation range. In the link interference evaluation, the nodes in the network are divided into different sets: sending node set, receiving node set, retransmitting transmitting node set, retransmitting receiving node set, and analyzing the link interference evaluation between the sender and receiver. In this paper, the probability distribution function of interference in wireless Ad-Hoc network is derived and the SIR value is calculated. The planar mobile model and interference distribution function of wireless Ad-Hoc network established in this paper are analyzed synthetically by network capacity, because the transmission capacity of wireless Ad-Hoc network is one of the key properties to guarantee the quality of service of the network. Based on the outage probability, packet arrival rate and network delay, this paper derives the expression of transmission capacity based on full-duplex (BFD) bidirectional mobile Ad-Hoc network. The effectiveness and universality of planar mobility model and interference analysis of wireless Ad-Hoc network are verified by numerical simulation.
【學(xué)位授予單位】：蘭州理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN929.5

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本文編號(hào)：2423412