本文選題：移動(dòng)互聯(lián)網(wǎng) + 模糊神經(jīng)網(wǎng)絡(luò)　； 參考：《北京郵電大學(xué)》2014年碩士論文

【摘要】：隨著移動(dòng)通信、移動(dòng)互聯(lián)網(wǎng)等技術(shù)的越來(lái)越高速的發(fā)展,網(wǎng)絡(luò)已經(jīng)成為社會(huì)的基礎(chǔ)設(shè)施,它有著泛在性和隨機(jī)接入性的特征,推動(dòng)著異構(gòu)無(wú)線接入技術(shù)的網(wǎng)絡(luò)相互融合、協(xié)作共存,逐漸成為未來(lái)無(wú)線網(wǎng)絡(luò)的必然發(fā)展趨勢(shì)。在多種無(wú)線接入技術(shù)共存的異構(gòu)網(wǎng)絡(luò)環(huán)境中,垂直切換漸漸取代了傳統(tǒng)的水平切換,成為異構(gòu)網(wǎng)絡(luò)選擇機(jī)制的基礎(chǔ),因此對(duì)垂直切換機(jī)制的研究對(duì)均衡網(wǎng)絡(luò)負(fù)載,為用戶提供高質(zhì)量且可靠的服務(wù)具有極其深遠(yuǎn)的意義。 但是目前的垂直切換算法僅僅單一的集中于多屬性決策、成本和策略等,沒(méi)有很好的統(tǒng)籌整個(gè)網(wǎng)絡(luò)的資源,亦不能對(duì)所有判決參數(shù)進(jìn)行精確的建模�；诖�,為了適應(yīng)多種接入技術(shù)的異構(gòu)網(wǎng)絡(luò)環(huán)境的變化,需要增加人工修正調(diào)整的過(guò)程,我們?cè)跓o(wú)線網(wǎng)絡(luò)資源協(xié)同管理的框架下,提出基于模糊邏輯理論和人工神經(jīng)網(wǎng)絡(luò)的改進(jìn)算法,能夠使上述存在的問(wèn)題得到一定程度的改善,可以作為實(shí)現(xiàn)異構(gòu)網(wǎng)絡(luò)切換選擇的較好機(jī)制。 本文的研究工作主要包括如下幾方面： (1)提出異構(gòu)無(wú)線接入網(wǎng)絡(luò)環(huán)境下的無(wú)線網(wǎng)絡(luò)資源協(xié)同管理的創(chuàng)新機(jī)制,為保證網(wǎng)絡(luò)的負(fù)載和服務(wù)質(zhì)量,采用模糊邏輯理論和人工神經(jīng)網(wǎng)絡(luò)相結(jié)合的算法。 (2)模擬不同無(wú)線接入技術(shù)的多小區(qū)的場(chǎng)景部署,并進(jìn)行討論。該場(chǎng)景包括三種網(wǎng)絡(luò)：通用移動(dòng)通信系統(tǒng)(UMTS)、GSM/EDGE無(wú)線接入網(wǎng)(GERAN)、無(wú)線局域網(wǎng)(WLAN)。 (3)提出的模糊神經(jīng)無(wú)線網(wǎng)絡(luò)資源協(xié)同管理算法,能夠協(xié)同管理可用的無(wú)線網(wǎng)絡(luò)資源,具體分為兩個(gè)步驟。第一步是在三種無(wú)線接入技術(shù)存在的網(wǎng)絡(luò)中,選擇合適的小區(qū)組合,第二步是在該小區(qū)組合中選擇最適合用戶接入的無(wú)線技術(shù),并分配給用戶適當(dāng)?shù)膸挕?(4)對(duì)不同的實(shí)現(xiàn)進(jìn)行仿真和對(duì)比,仿真結(jié)果表明提出的模糊神經(jīng)方法能夠處理異構(gòu)網(wǎng)絡(luò)環(huán)境的復(fù)雜性和不確定性,由此可見(jiàn)該算法是一種很有前途的選擇機(jī)制。 (5)此外,該算法還通過(guò)多目標(biāo)決策機(jī)制,考慮到運(yùn)營(yíng)商的不同策略以及用戶的不同的主觀標(biāo)準(zhǔn),如均衡不同無(wú)線接入技術(shù)間的業(yè)務(wù)流量,或賦予某種無(wú)線接入技術(shù)以優(yōu)先級(jí)。
[Abstract]:With the rapid development of mobile communication, mobile Internet and other technologies, network has become the infrastructure of society. It has the characteristics of universality and random access, and promotes the integration of heterogeneous wireless access technology. Cooperative coexistence has gradually become the inevitable development trend of wireless networks in the future. In the heterogeneous network environment where multiple wireless access technologies coexist, vertical handoff gradually replaces the traditional horizontal handoff and becomes the basis of heterogeneous network selection mechanism, so the research on vertical handoff mechanism is to balance the network load. Providing high quality and reliable services to users is of great significance. However, the current vertical handoff algorithm is only focused on multi-attribute decision making, cost and strategy, and so on. It does not well coordinate the resources of the whole network, nor can it accurately model all the decision parameters. Based on this, in order to adapt to the change of heterogeneous network environment of multiple access technologies, we need to increase the process of manual correction and adjustment. We use the framework of cooperative management of wireless network resources. An improved algorithm based on fuzzy logic theory and artificial neural network is proposed, which can improve the problems mentioned above to a certain extent and can be used as a better mechanism to realize handoff selection in heterogeneous networks. The research work of this paper mainly includes the following aspects: In order to ensure the load and quality of service of the network, fuzzy logic theory and artificial neural network are used to combine the fuzzy logic theory with the artificial neural network. Simulation and discussion of multi-cell scenario deployment for different wireless access technologies. The scenario consists of three types of networks: the Universal Mobile Communication system (UMTS), the GSM / edge wireless access network, the WLAN, and the WLAN. The fuzzy neural network resource collaborative management algorithm, which can manage the available wireless network resources in cooperation, is divided into two steps. The first step is to select the appropriate cell combination in the network where the three wireless access technologies exist. The second step is to select the most suitable wireless technology for the user access in the cell combination and allocate the appropriate bandwidth to the user. Simulation results show that the proposed fuzzy neural method can deal with the complexity and uncertainty of heterogeneous network environment, so this algorithm is a promising choice mechanism. In addition, the algorithm takes into account different strategies of operators and different subjective standards of users, such as balancing traffic between different wireless access technologies, or giving priority to certain wireless access technologies.
【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)】：TP18;TN929.5;TP393.01

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