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Power Control Algorithm Base on Game Theory in Cognitive Radio Networks

Author: WangJian
Tutor: TanXueZhi
School: Harbin Institute of Technology
Course: Information and Communication Engineering
Keywords: Cognitive radio Non-cooperative game Power Control Cost function
CLC: TN929.5
Type: Master's thesis
Year: 2009
Downloads: 123
Quote: 1
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Abstract

With the rapid development of wireless communication technology, people put forward higher requirements for broadband wireless applications. The current spectrum allocation system for fixed-spectrum assignment, but based on a fixed frequency spectrum allocated resource utilization is very low. In order to solve the above problem, the basic idea is to maximize the utilization of the available spectrum. Thus, the concept of cognitive radio came into being. Cognitive radio spectrum sensing, spectrum analysis and spectrum decision, spectrum sharing. Cognitive environment of the transmit power of each user control is an important prerequisite to ensure that spectrum sharing. To achieve the control of the power for the user's cognitive radio mainly there are two ideas: one is the power control problem may be viewed as an optimization problem, that is, in all link Letter SINR are greater than a certain value. , under the precondition of ensuring the user's QoS, as much as possible to minimize the transmission power of the user. Another is based on game theory, distributed power control problems to deal with as a non-cooperative game problem, that is, each user by adjusting their transmit power to maximize revenue function process. This non-cooperative game solution called the Nash equilibrium. This article is the combination of game theory algorithm tools of cognitive radio system power control problem. This paper first analyzes the non-cooperative power control game algorithm, and the establishment of a the cognitive network system model. Analysis of non-cooperative power control game algorithm based on this model. Next, analysis of the cost function based on the non-cooperative power control game algorithm and system simulation diagram. Simulation results show the reduction in the transmit power of the user in the system can be achieved by referring to the cost function. We then compared the two algorithms of the SINR and throughput, found that the reference to the cost function although the transmitting power of the user of the system can better achieve the control, but the expense of the relatively far from the base station to the user effectiveness. Overall, the reference to the cost function enables system users a more rational use of spectrum resources. This paper analyzes the cost function based on the non-cooperative power control game algorithm performance, the price function is improved, and given a new non-linear cost function, then given based on non-linear cost function power control game algorithm formula, and wherein the cost function of factor selection has been described, and also gives the results of a simulation of the system. Finally, the new algorithm with two algorithms are carried out in the transmit power, and user utility, SINR ratio and throughput of system simulation, the simulation results prove that this algorithm in the user's transmit power control advantage than based on the cost function is non-cooperative power control game algorithm is more fairness.

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