本文關(guān)鍵詞：異構(gòu)無線網(wǎng)絡(luò)軟負(fù)載均衡算法研究　出處：《華中科技大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 異構(gòu)無線網(wǎng)絡(luò) 軟負(fù)載均衡 數(shù)據(jù)流分割 M/M/1隊(duì)列 時(shí)延控制

【摘要】：最近這些年，無線通信領(lǐng)域取得了空前的發(fā)展，人們不斷提出了各種新穎的無線通信技術(shù)，一時(shí)間，出現(xiàn)了多種制式的異構(gòu)無線網(wǎng)絡(luò)。與此同時(shí)，隨著移動(dòng)互聯(lián)網(wǎng)的高速發(fā)展和智能終端的不斷普及，特別是移動(dòng)端多媒體應(yīng)用的迅猛發(fā)展，移動(dòng)端的流量呈現(xiàn)爆炸性地增長。單一模式的通信網(wǎng)絡(luò)由于端到端的吞吐量較低、延時(shí)較大，已無法滿足現(xiàn)有需求。而未來將出現(xiàn)大量的異構(gòu)無線網(wǎng)絡(luò)重疊覆蓋的場景，在該種場景下，利用異構(gòu)無線網(wǎng)絡(luò)間的優(yōu)勢互補(bǔ)，是解決上述問題的有效手段之一。因此，很有必要研究一種異構(gòu)無線網(wǎng)絡(luò)下的協(xié)作共享技術(shù)。從提升整個(gè)異構(gòu)無線網(wǎng)絡(luò)融合系統(tǒng)的資源利用率的角度來看，負(fù)載均衡顯然是一種十分有效手段。我們研究的焦點(diǎn)是軟負(fù)載均衡策略。該策略下，將用戶的業(yè)務(wù)數(shù)據(jù)流分割成若干個(gè)子數(shù)據(jù)流，并將子數(shù)據(jù)流交由多個(gè)網(wǎng)絡(luò)進(jìn)行并行傳輸，，以實(shí)現(xiàn)異構(gòu)無線網(wǎng)絡(luò)融合系統(tǒng)的負(fù)載均衡。 首先，我們提出了一種異構(gòu)無線網(wǎng)絡(luò)環(huán)境下的網(wǎng)絡(luò)流量的最優(yōu)分配機(jī)制。異構(gòu)網(wǎng)絡(luò)可以看作是多個(gè)可以同時(shí)為終端用戶服務(wù)的同構(gòu)網(wǎng)絡(luò)的組合。為簡單起見，每個(gè)網(wǎng)絡(luò)都被建模成M/M/1隊(duì)列。我們的目標(biāo)是最小化每個(gè)隊(duì)列中受約束的任務(wù)數(shù)�？梢酝ㄟ^拉格朗日乘數(shù)解決最優(yōu)解問題。根據(jù)各個(gè)不同網(wǎng)絡(luò)的服務(wù)速率，將產(chǎn)生的數(shù)據(jù)速率最優(yōu)地分配到各個(gè)網(wǎng)絡(luò)中。仿真分析表明，該算法比平均分配算法和貪婪算法具有更高的吞吐量，提高了頻譜效率。 當(dāng)并行鏈路傳輸多媒體業(yè)務(wù)和實(shí)時(shí)應(yīng)用業(yè)務(wù)時(shí)，由于這兩類業(yè)務(wù)對數(shù)據(jù)包時(shí)延、時(shí)延抖動(dòng)和數(shù)據(jù)包重排序等因素十分敏感，因此，為了提高并行鏈路的利用率，研究一種有效的基于時(shí)延控制的負(fù)載分配算法顯得至關(guān)重要。我們提出了一種基于鏈路時(shí)延控制的負(fù)載分配算法，稱為DCSLB算法。DCSLB算法的目的是在異構(gòu)無線網(wǎng)絡(luò)融合場景下，考慮了多條鏈路的帶寬和傳播時(shí)延因素，通過動(dòng)態(tài)調(diào)整分配到各條鏈路上的網(wǎng)絡(luò)負(fù)載比例（分割比例）實(shí)現(xiàn)最大鏈路時(shí)延的最小化。一方面，減小了接收端數(shù)據(jù)包重排序的等待時(shí)延；另一方面，使得各條鏈路的端到端時(shí)延差最小，從而降低接收端數(shù)據(jù)包重排序的概率，進(jìn)而使得系統(tǒng)成功傳輸一個(gè)數(shù)據(jù)包的時(shí)延減小。 隨后，我們搭建了基于LTE和WLAN融合的實(shí)物驗(yàn)證系統(tǒng)，以實(shí)現(xiàn)DCSLB算法，測試結(jié)果表明采用DCSLB算法的軟負(fù)載均衡方案相對于傳統(tǒng)的單模接入方案，在保證服務(wù)質(zhì)量的前提下，實(shí)現(xiàn)了吞吐量的線性疊加。 最后，我們對軟負(fù)載均衡應(yīng)用場景進(jìn)行了拓展，針對未來蜂窩網(wǎng)絡(luò)中宏小區(qū)和小小區(qū)協(xié)同覆蓋以及WLAN AP組成mesh網(wǎng)絡(luò)的場景，提出了一種分層半集中式網(wǎng)絡(luò)架構(gòu)，可以有效減小無線資源管理服務(wù)器的管理復(fù)雜度，并通過引入備用無線資源管理服務(wù)器，使得異構(gòu)無線網(wǎng)絡(luò)兼具容災(zāi)能力。
[Abstract]:In recent years, the field of wireless communication has made unprecedented development, people constantly put forward a variety of novel wireless communication technology, at a time, there are a variety of heterogeneous wireless networks. At the same time. With the rapid development of mobile Internet and the continuous popularity of intelligent terminals, especially the rapid development of mobile multimedia applications. Mobile traffic increases explosively. A single mode of communication network has a long delay due to the low end-to-end throughput. However, there will be a large number of overlapping scenarios in the future. In this scenario, the advantages of heterogeneous wireless networks will complement each other. Therefore, it is necessary to study a cooperation and sharing technology in heterogeneous wireless networks. From the point of view of improving the resource utilization of the whole heterogeneous wireless network fusion system. Load balancing is obviously a very effective method. The focus of our research is the soft load balancing strategy, in which the user's business data stream is divided into several sub-data streams. In order to realize the load balance of heterogeneous wireless network fusion system, the sub-data stream is transferred to multiple networks for parallel transmission. Firstly, we propose an optimal traffic allocation mechanism for heterogeneous wireless networks. Heterogeneous networks can be considered as a combination of multiple isomorphic networks that can serve end users at the same time. Each network is modeled as a M / M / 1 queue. Our goal is to minimize the number of constrained tasks in each queue. The optimal solution can be solved by Lagrange multipliers. . The resulting data rates are optimally allocated to each network. Simulation results show that the proposed algorithm has higher throughput and higher spectral efficiency than the average allocation algorithm and the greedy algorithm. When parallel links transmit multimedia services and real-time application services, these two services are sensitive to data packet delay, delay jitter and packet reordering. In order to improve the utilization of parallel links, it is very important to study an effective load allocation algorithm based on delay control. We propose a load allocation algorithm based on link delay control. The purpose of the algorithm called DCSLB algorithm. DCSLB is to consider the bandwidth and propagation delay factors of multiple links in heterogeneous wireless network fusion scenario. The maximum link delay is minimized by dynamically adjusting the network load ratio (partitioning ratio) allocated to each link. On the one hand, the waiting delay of packet reordering at the receiving end is reduced. On the other hand, the end-to-end delay difference of each link is minimized, thus reducing the probability of packet reordering at the receiving end, and then reducing the delay of successful transmission of a packet in the system. Then, we build a physical verification system based on the fusion of LTE and WLAN to implement the DCSLB algorithm. The test results show that compared with the traditional single-mode access scheme, the soft load balancing scheme based on DCSLB algorithm can achieve the linear superposition of throughput under the premise of guaranteeing the quality of service. Finally, we extend the application scenario of soft load balancing, aiming at the scenario of mesh network composed of macro cell and small cell co-coverage and WLAN AP in the future cellular network. A hierarchical and semi-centralized network architecture is proposed, which can effectively reduce the management complexity of the wireless resource management server. By introducing the backup radio resource management server, the heterogeneous wireless network has the capability of disaster tolerance.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN929.5

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