基于博弈论的双层蜂窝网络功率控制算法研究

发布时间：2018-02-01 21:46

本文关键词： 双层蜂窝网络 Femtocell 博弈论收敛速度　出处：《内蒙古大学》2017年硕士论文　论文类型：学位论文

【摘要】：随着无线通信技术和移动互联网技术的迅速发展,移动业务的应用场景越发复杂,现在越来越多的移动通信业务发生在室内,所以提高对室内用户的服务质量变得至关重要。因此豪微微小区(Femtocell)技术应运而生,Femtocell是一种小型的室内基站,能够有效提高室内移动蜂窝网络通信质量,与原有宏基站构成双层网络。但是由于其位置与数量的随机性,双层网络的干扰控制是最为棘手的问题,双层网络功率控制技术也就变得越来越重要。本文主要针对双层网络中的功率控制问题进行了研究,基于博弈论分析了单层网络下功率控制算法的基本内容,并仿真验证了非合作功率控制博弈模型(NPG)与引入价格函数的非合作功率控制博弈模型(NPGP)算法的差异,解释了价格函数在功率控制博弈算法中的作用;然后,在Femtocell双层网络的架构下优化了功率控制算法,通过对宏小区的链路保护降低Femtocell用户过多时对宏小区的干扰,并在功率控制过程中加入了价格函数选择策略,提高了算法收敛速度,增强了超出系统容限时算法的鲁棒性。本文利用matlab仿真工具首先建立了单层网络模型,分析了博弈论下的功率控制基本算法,编译了可交互的仿真程序;而后建立了由若干数量的Femtocell用户与一个宏小区用户组成的蜂窝移动系统,进而仿真验证了本文所提算法的性能优劣。通过仿真验证得到了如下结论:文中所提的算法在保证宏小区用户最低通信要求的前提下拥有更快的收敛速度,同时也可以在系统容限内最大化能量利用率。
[Abstract]:With the rapid development of wireless communication technology and mobile Internet technology, the application of mobile services is becoming more and more complex. Now more and more mobile communication services occur indoors. Therefore, it is very important to improve the quality of service for indoor users. Therefore, the technology of Huo pico-cell / Femtocell is a small indoor base station. It can effectively improve the communication quality of indoor mobile cellular network, and form a double-layer network with the original Acer stations. However, because of the randomness of its location and quantity, the interference control of double-layer network is the most difficult problem. The power control technology of double-layer network becomes more and more important. In this paper, the power control problem in double-layer network is studied, and the basic content of power control algorithm in single-layer network is analyzed based on game theory. The difference between the non-cooperative power control game model (NPG) and the non-cooperative power control game model (NPGP) is verified by simulation. The function of price function in power control game algorithm is explained. Then, the power control algorithm is optimized under the Femtocell bilevel network architecture, and the interference to the macro cell is reduced by the link protection of the macro cell when there are too many Femtocell users. In the process of power control, the price function selection strategy is added to improve the convergence speed of the algorithm. The robustness of the algorithm is enhanced. Firstly, the single-layer network model is established by using matlab simulation tool, and the basic power control algorithm based on game theory is analyzed. Compiles the interactive simulation program; Then a cellular mobile system consisting of a number of Femtocell users and a macro cell user is established. Then the performance of the proposed algorithm is verified by simulation. The following conclusions are obtained by simulation: the algorithm proposed in this paper has faster convergence speed under the premise of ensuring the minimum communication requirements of the users in the macro cell. At the same time, the energy utilization ratio can be maximized within the system tolerance.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN929.5

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