基于博弈论的毫微微蜂窝网络资源优化与干扰控制研究

发布时间：2018-03-09 21:09

本文选题：毫微微蜂窝网络　切入点：博弈论　出处：《燕山大学》2014年硕士论文　论文类型：学位论文

【摘要】：毫微微蜂窝又称为Femtocell、家庭基站，是用户安装在室内的无线数据接入点，具有低成本、低功耗和短距离通信的特点。它的安装旨在提高室内覆盖，更好的实现数据和语音通信。然而它的安装却带来了严重的干扰问题。另外，频谱的分配、接入的优先级、安装的密集程度以及不同服务质量的要求也会影响双层毫微微蜂窝网络的性能。在频谱共享机制下，博弈论是解决优化与干扰控制问题的行之有效的数学工具。本文首先针对集中式功率控制方法难以实施和已有的功率控制算法难以联合控制功率与优化毫微微蜂窝网络性能的问题，，研究了基于非合作博弈的毫微微蜂窝网络的分布式功率控制方案。把宏基站所能承受的干扰功率限制作为可分配的资源，毫微微蜂窝以非合作博弈的方式竞争该资源，并证明了纳什均衡的存在性和唯一性，提出了功率调整和用户选择算法。仿真结果证明了算法的有效性，系统的吞吐量得到有效的提高。其次针对毫微微蜂窝被密集安装时同时存在同层干扰和跨层干扰的问题，提出了基于Stackelberg博弈的毫微微蜂窝网络的分布式功率控制策略。宏蜂窝基站和毫微微蜂窝基站分别作为Stackelberg博弈的领导者和跟随者。设置宏基站的惩罚函数，通过最优化宏基站的效用来获得最优的干扰阈值。毫微微蜂窝之间以虚拟博弈的方式来控制同层干扰，并提出了一个分布式功率控制算法。仿真结果表明，该方法要优于非合作博弈的方法，网络的性能得到了提高。最后假定毫微微蜂窝用户的功率恒定，从信道分配的角度提出了基于NBS的分簇毫微微蜂窝网络的带宽分配方法。毫微微蜂窝根据建立的干扰权重表进行分簇。为了满足毫微微蜂窝的最小需求，利用NBS的方法分配不同的带宽给各个簇。仿真结果表明，基于NBS的带宽分配要优于平均带宽分配，毫微微蜂窝之间的同层干扰能够得到抑制，网络的SINR得到了提高。
[Abstract]:Femto cell, also known as Femto cell, is a wireless data access point installed indoors by users, with features of low cost, low power consumption and short range communication. Better implementation of data and voice communication. However, its installation has caused serious interference problems. In addition, the allocation of spectrum, the priority of access, The density of installation and the requirement of different quality of service will also affect the performance of double-layer femto cellular network. Game theory is an effective mathematical tool to solve the problem of optimization and interference control under the spectrum sharing mechanism. In this paper, first of all, it is difficult to implement centralized power control methods and it is difficult for existing power control algorithms to control power jointly and optimize the performance of femtosecellular networks. In this paper, the distributed power control scheme based on non-cooperative game is studied. The interference power limit that the base station can bear is regarded as the distributable resource, and the femtosecellular competes with the resource by non-cooperative game. The existence and uniqueness of Nash equilibrium are proved, and the power adjustment and user selection algorithms are proposed. The simulation results show that the algorithm is effective and the throughput of the system is improved effectively. Secondly, aiming at the problem of the same layer interference and cross layer interference in the dense installation of the femto honeycomb, This paper proposes a distributed power control strategy for femto cellular network based on Stackelberg game. The macro cellular base station and the femto cell base station act as the leader and follower of the Stackelberg game respectively. The penalty function of the macro base station is set up. The optimal interference threshold is obtained by optimizing the utility of the macro base station. The interference of the same layer is controlled by virtual game between the femto cells. A distributed power control algorithm is proposed. The simulation results show that, This method is superior to the non-cooperative game method, and the performance of the network is improved. Finally, assuming that the power of the femto cellular user is constant, From the point of view of channel assignment, this paper proposes a bandwidth allocation method for clustered femtocellular networks based on NBS. In order to meet the minimum requirement of femto cellular, femtosecells are clustered according to the established interference weight table. The simulation results show that the bandwidth allocation based on NBS is better than the average bandwidth allocation, the same layer interference between femto cells can be suppressed, and the SINR of the network is improved.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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