基于博弈论的异构无线网络选择接入策略优化研究
发布时间：2018-11-04 15:32
【摘要】：异构无线网络是移动通信未来发展的一个主要趋势,它可以利用不同网络的特性以及网络资源为用户提供更好的,更优质的多样化服务。网络选择接入策略作为异构无线网络中的一个研究热点,主要是解决提升用户服务质量和整个异构无线网络性能的问题。博弈论作为一种分析问题的有效工具,在异构无线网络中有着广泛的应用,本文对基于博弈论的异构无线网络选择策略优化进行了分析和研究,主要的工作内容有:首先本文通过进化博弈模型对两层异构无线蜂窝网络系统进行数学建模,然后根据我们的优化目标进行支付函数模型定义,接着通过模仿者动态模型对用户在网络选择过程中的动态行为进行描述并求解了均衡策略,通过最后的仿真结果可以看到,所有用户的收益趋向于网络所有用户的平均收益。提升了用户之间的公平性以及系统能效。接着本文对网络场景进行了拓展,研究了由多种网络制式组成的异构无线网络中有多种用户业务请求类型的场景。提出了一种基于层次分析法(AHP)和进化博弈理论的网络选择接入策略,实现了在充分保证用户QoS和用户之间公平性的基础上,降低了终端能耗,提升了用户终端的续航能力。最后本文在第五章中基于第四章的异构无线网络场景,综合考虑用户侧利益和网络侧利益提出了一种基于改进TOPSIS分析法和匹配博弈的网络选择策略。把网络选择过程描述成一个匹配博弈的过程;仿真结果显示,和只考虑用户侧利益或者只考虑网络侧的网络选择策略比较,本章所提策略有效提高了系统的平均满意度并且实现了异构无线网络系统的负载均衡。
[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.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
本文编号：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.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5
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