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1、南京郵電大學碩士學位論文基于博弈論的頻譜共享算法研究姓名:周惟風申請學位級別:碩士專業(yè):通信與信息系統(tǒng)指導教師:朱琦2011-03南京郵電大學碩士研究生學位論文 摘要II Abstract Cognitive radio is born which brings a promising future to solve the problem of spectrum shortage and improve the low efficie
2、ncy of spectrum utilization. And spectrum sharing is always the and prosperity in the cognitive radio system. Since its concept was pioneered, the research method based on game theory emerges. Game theory, which based on
3、 the precise mathematical models, is a useful tool to solve the conflict problem between the decision makers and help them to make decisions in the real world. But the research is not much and the existing algorithm is l
4、imited. Therefore, to develop the new spectrum sharing models and the application of game algorithms is extremely meaningful both in theoretical and realistic aspects. In this thesis, firstly, the theoretical framework o
5、f spectrum sharing system in cognitive radio network is established and the game model for the spectrum sharing in cognitive radio network is proposed based on the analysis of the existing spectrum sharing models. Second
6、ly, with the application of this model, three game theoretical algorithms are designed. The lending spectrum behavior of primary users in cognitive radio is analyzed using game theory. With the application of the game mo
7、del for the spectrum sharing, the concept of spectrum diversity is introduced and the game theoretical algorithm is designed with the goal of improving its efficiency of spectrum utilization. The specific influences of v
8、ertical diversity on the positivity of primary system’s spectrum sharing and the efficiency of spectrum utilization is presented. Aimed at the problem of spectrum sharing among a primary user and multiple secondary users
9、 based on Game Theory, an improved utility function of the second user is proposed. Not only the different spectrum requirements as a result of the different service among second users but also the influence of the share
10、d spectrum on the spectrum demand have been taken into consideration in the spectrum demand parameter of the function, the more spectrum the second user shared, then the demand for spectrum will be relatively less severe
11、. The demand degree in the utility function is a function of spectrum sharing, so it is a variable which can more accurately describes the cognitive radio system features in meeting the needs of users of the spectrum, an
12、d better reflect the spectrum allocation of the equity. This paper also analyzed the impact of the spectrum demand function on the spectrum sharing algorithm based on game theory. The theoretical analysis and simulation
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