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Cognitive radio spectrum sharing technology based on game theory

Author: LiuXiaoYang
Tutor: ShaoYuBin
School: Kunming University of Science and Technology
Course: Communication and Information System
Keywords: Cognitive radio Game Theory Nash equilibrium Spectrum access Spectrum sharing
CLC: TN925
Type: Master's thesis
Year: 2010
Downloads: 78
Quote: 0
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Abstract


Due to the rapid development of wireless communication technology in recent decades, the demand for radio spectrum resources become very strong, but due to the fixed spectrum allocation policy makes the spectrum utilization is not very high, while the wireless spectrum is a non-renewable resource, cognitive radio (Cognitive Radio, CR) is put forward in recent years a new type of wireless communication technology, it can take advantage of a secondary user spectrum sensing function, dynamic adaptive use of idle spectrum resources, so cognitive radio emerged and development soon. Recently developed dynamic spectrum access technologies, spectrum sharing technology can effectively solve the problem of low spectrum utilization. Game Theory (Game Theory), also known as game theory, it is a branch of applied mathematics, is also an important discipline of operations research. Game theory can play an important role in the competitive nature, and decision-making choices. Communication subscriber in a wireless communication system, widely exists competition on the limited spectrum resources, and thus the game theory can be well applied to a wireless communication system. In this paper, the problem of spectrum sharing in dynamic spectrum access given repeated game of self-learning algorithm to study the dynamic spectrum access using continuous-time Markov chain (CTMC), the use of self-learning on the basis of the CTMC repeat game model for spectrum access technology performance. Spectrum sharing of multiple secondary users compete to establish the dynamic game model: a secondary user can repeatedly adjust their strategies according to the size of the demand spectrum. This paper studied the the spectrum sharing local and global stability. Static and dynamic game model, the use of the Nash equilibrium analysis of the static and dynamic game model, static and dynamic game model for the next generation cognitive radio system will be very useful. Numerical analysis, self-learning algorithm is able to quickly reach convergence, enhanced Game efficient; mutual cooperation among the secondary users in dynamic spectrum access networks is particularly useful. For multiple secondary users the competition spectrum sharing problem, numerical analysis results show that the Nash equilibrium is static game and dynamic game hopes to achieve a balanced solution; numerical analysis results also show that the learning rate changes and changes in the quality of the channel will produce unstable results.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Radio relay communications,microwave communications
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