基于博弈論的異構(gòu)無線網(wǎng)絡(luò)選擇接入策略優(yōu)化研究
發(fā)布時(shí)間：2018-11-04 15:32
【摘要】：異構(gòu)無線網(wǎng)絡(luò)是移動(dòng)通信未來發(fā)展的一個(gè)主要趨勢(shì),它可以利用不同網(wǎng)絡(luò)的特性以及網(wǎng)絡(luò)資源為用戶提供更好的,更優(yōu)質(zhì)的多樣化服務(wù)。網(wǎng)絡(luò)選擇接入策略作為異構(gòu)無線網(wǎng)絡(luò)中的一個(gè)研究熱點(diǎn),主要是解決提升用戶服務(wù)質(zhì)量和整個(gè)異構(gòu)無線網(wǎng)絡(luò)性能的問題。博弈論作為一種分析問題的有效工具,在異構(gòu)無線網(wǎng)絡(luò)中有著廣泛的應(yīng)用,本文對(duì)基于博弈論的異構(gòu)無線網(wǎng)絡(luò)選擇策略優(yōu)化進(jìn)行了分析和研究,主要的工作內(nèi)容有:首先本文通過進(jìn)化博弈模型對(duì)兩層異構(gòu)無線蜂窩網(wǎng)絡(luò)系統(tǒng)進(jìn)行數(shù)學(xué)建模,然后根據(jù)我們的優(yōu)化目標(biāo)進(jìn)行支付函數(shù)模型定義,接著通過模仿者動(dòng)態(tài)模型對(duì)用戶在網(wǎng)絡(luò)選擇過程中的動(dòng)態(tài)行為進(jìn)行描述并求解了均衡策略,通過最后的仿真結(jié)果可以看到,所有用戶的收益趨向于網(wǎng)絡(luò)所有用戶的平均收益。提升了用戶之間的公平性以及系統(tǒng)能效。接著本文對(duì)網(wǎng)絡(luò)場景進(jìn)行了拓展,研究了由多種網(wǎng)絡(luò)制式組成的異構(gòu)無線網(wǎng)絡(luò)中有多種用戶業(yè)務(wù)請(qǐng)求類型的場景。提出了一種基于層次分析法(AHP)和進(jìn)化博弈理論的網(wǎng)絡(luò)選擇接入策略,實(shí)現(xiàn)了在充分保證用戶QoS和用戶之間公平性的基礎(chǔ)上,降低了終端能耗,提升了用戶終端的續(xù)航能力。最后本文在第五章中基于第四章的異構(gòu)無線網(wǎng)絡(luò)場景,綜合考慮用戶側(cè)利益和網(wǎng)絡(luò)側(cè)利益提出了一種基于改進(jìn)TOPSIS分析法和匹配博弈的網(wǎng)絡(luò)選擇策略。把網(wǎng)絡(luò)選擇過程描述成一個(gè)匹配博弈的過程;仿真結(jié)果顯示,和只考慮用戶側(cè)利益或者只考慮網(wǎng)絡(luò)側(cè)的網(wǎng)絡(luò)選擇策略比較,本章所提策略有效提高了系統(tǒng)的平均滿意度并且實(shí)現(xiàn)了異構(gòu)無線網(wǎng)絡(luò)系統(tǒng)的負(fù)載均衡。
[Abstract]:Heterogeneous wireless network is one of the main trends of mobile communication in the future. It can make use of the characteristics of different networks and network resources to provide users with better and better diversified services. As a research hotspot in heterogeneous wireless networks, network selection access strategy is mainly to solve the problem of improving the quality of service of users and the performance of heterogeneous wireless networks as a whole. As an effective tool for analyzing problems, game theory is widely used in heterogeneous wireless networks. In this paper, the selection strategy optimization of heterogeneous wireless networks based on game theory is analyzed and studied. The main work is as follows: firstly, this paper uses evolutionary game model to model the two-layer heterogeneous wireless cellular network, and then defines the payment function model according to our optimization objectives. Then the dynamic behavior of users in the process of network selection is described by the imitator dynamic model and the equilibrium strategy is solved. Through the simulation results we can see that the income of all users tends to the average income of all users in the network. Improved user fairness and system energy efficiency. Then this paper extends the network scene and studies the scenario of heterogeneous wireless network which is composed of multiple network systems and has a variety of user service request types. A network selective access strategy based on analytic hierarchy process (AHP) and evolutionary game theory is proposed in this paper, which can reduce terminal energy consumption and enhance terminal's ability to maintain the fairness between user QoS and user. Finally, in chapter 5, based on the scenario of heterogeneous wireless networks in Chapter 4, a network selection strategy based on improved TOPSIS analysis and matching game is proposed, which considers both user-side and network-side interests. The network selection process is described as a match game process. The simulation results show that compared with the network selection strategy which only considers the user side interests or the network side, the strategy proposed in this chapter effectively improves the average satisfaction of the system and realizes the load balancing of heterogeneous wireless network systems.
【學(xué)位授予單位】：合肥工業(yè)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
本文編號(hào)：2310270
[Abstract]:Heterogeneous wireless network is one of the main trends of mobile communication in the future. It can make use of the characteristics of different networks and network resources to provide users with better and better diversified services. As a research hotspot in heterogeneous wireless networks, network selection access strategy is mainly to solve the problem of improving the quality of service of users and the performance of heterogeneous wireless networks as a whole. As an effective tool for analyzing problems, game theory is widely used in heterogeneous wireless networks. In this paper, the selection strategy optimization of heterogeneous wireless networks based on game theory is analyzed and studied. The main work is as follows: firstly, this paper uses evolutionary game model to model the two-layer heterogeneous wireless cellular network, and then defines the payment function model according to our optimization objectives. Then the dynamic behavior of users in the process of network selection is described by the imitator dynamic model and the equilibrium strategy is solved. Through the simulation results we can see that the income of all users tends to the average income of all users in the network. Improved user fairness and system energy efficiency. Then this paper extends the network scene and studies the scenario of heterogeneous wireless network which is composed of multiple network systems and has a variety of user service request types. A network selective access strategy based on analytic hierarchy process (AHP) and evolutionary game theory is proposed in this paper, which can reduce terminal energy consumption and enhance terminal's ability to maintain the fairness between user QoS and user. Finally, in chapter 5, based on the scenario of heterogeneous wireless networks in Chapter 4, a network selection strategy based on improved TOPSIS analysis and matching game is proposed, which considers both user-side and network-side interests. The network selection process is described as a match game process. The simulation results show that compared with the network selection strategy which only considers the user side interests or the network side, the strategy proposed in this chapter effectively improves the average satisfaction of the system and realizes the load balancing of heterogeneous wireless network systems.
【學(xué)位授予單位】：合肥工業(yè)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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