认知无线电中基于博弈论的功率控制算法研究

发布时间：2018-04-24 11:14

本文选题：认知无线电 + 功率控制　；参考：《南京邮电大学》2011年硕士论文

【摘要】：随着通信技术的发展，无线电设备大量增加导致了无线频谱资源日益紧张。目前频谱的分配方式是固定频谱分配，但是该方式会导致频谱利用率的低下。为了改变这种方式，认知无线电（Cognitive Radio，简称CR)作为一种动态的频谱分配方式就应运而生。认知无线电可以实现授权用户和非授权用户之间的频谱共享。非授权用户在利用空闲频段时必须保证不影响授权用户的正常使用，因此在认知无线电中要对非授权用户进行严格的功率控制。目前博弈论是解决认知无线电功率控制问题的主要工具。基于博弈论的功率控制算法，是把功率控制的问题看成是博弈问题来解决，并通过建立博弈模型来实现。在博弈模型中包含了效用函数和代价函数，前者是用户最大化的目标，后者则是对“贪婪”用户的惩罚。本文研究的正是基于博弈论的功率控制算法。本文简述了认知无线电的体系架构和关键技术，介绍了博弈论的基本概念，分析了在功率控制中如何运用博弈论，介绍了非合作博弈模型中的效用函数和代价函数以及几种经典的非合作博弈模型。随后本文详细的介绍了非合作博弈模型的的迭代流程，给出了一种高效简洁的迭代算法，并通过Matlab软件进行了仿真，，验证了算法的可行性，并和已有的非合作博弈模型进行了比较。在分析的基础上，根据代价函数的特点，给出了一种新的基于双代价的非合作博弈模型NPG-DP，最后通过仿真的分析验证了新的博弈模型在功率控制方面具有优势并且兼顾了公平性和全局效益。
[Abstract]:With the development of communication technology, the increase of radio equipment leads to the increasing shortage of wireless spectrum resources. At present, the spectrum allocation method is fixed spectrum allocation, but it will lead to low spectrum efficiency. In order to change this approach, cognitive radio cognitive radio (CRO) as a dynamic spectrum allocation came into being. Cognitive radio can share spectrum between authorized and unauthorized users. Non-authorized users must make sure that the normal use of authorized users is not affected when they use the idle frequency band, so the power control of unauthorized users should be strictly carried out in cognitive radio. At present, game theory is the main tool to solve the power control problem of cognitive radio. The power control algorithm based on game theory takes the power control problem as a game problem and realizes it by establishing a game model. The utility function and the cost function are included in the game model. The former is the goal of user maximization, while the latter is the punishment of "greedy" user. This paper studies the power control algorithm based on game theory. This paper briefly introduces the architecture and key technologies of cognitive radio, introduces the basic concept of game theory, and analyzes how to use game theory in power control. The utility function and cost function in the non-cooperative game model and several classical non-cooperative game models are introduced. Then this paper introduces the iterative process of the non-cooperative game model in detail, and gives an efficient and concise iterative algorithm. The simulation of the algorithm is carried out by Matlab software, and the feasibility of the algorithm is verified. And compared with the existing non-cooperative game model. Based on the analysis, according to the characteristics of the cost function, A new non-cooperative game model NPG-DPbased on double cost is presented. Finally, the simulation results show that the new model has advantages in power control and gives consideration to fairness and global benefit.
【学位授予单位】：南京邮电大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TN925

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