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首页> 外文期刊>AEU: Archiv fur Elektronik und Ubertragungstechnik: Electronic and Communication >Power control algorithm in cognitive radio system based on modified Shuffled Frog Leaping Algorithm
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Power control algorithm in cognitive radio system based on modified Shuffled Frog Leaping Algorithm

机译:基于改进的蛙跳算法的认知无线电系统功率控制算法

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Based on the non-cooperative power control game introduced by David Goodman, in this paper, we will introduce the concept of target SIR, modify the utility function, and propose a modified power control game algorithm. In this proposed power control game algorithm, it will be proved that the Nash equilibrium exists and is unique. To further improve the accuracy of the solution, the Shuffled Frog Leaping Algorithm (SFLA) will be modified and adopted by incorporating the basic ideas of Artificial Fish (AF). It can be shown that the proposed algorithm will have better global convergence and will have less possibility to be tripped in local optimum. Simulation results show that the proposed power control algorithm based on modified Shuffled Frog Leaping Algorithm (MSFLA) can not only increases the controllability on the target SIR but also reduces the user transmission power and improves system performance.
机译:基于David Goodman提出的非合作功率控制博弈,我们将介绍目标SIR的概念,修改效用函数,并提出一种改进的功率控制博弈算法。在该提出的功率控制博弈算法中,将证明纳什均衡存在并且是唯一的。为了进一步提高解决方案的准确性,将通过结合人工鱼(AF)的基本思想来修改和采用洗牌蛙跳算法(SFLA)。可以证明,所提出的算法将具有更好的全局收敛性,并且在局部最优中跳闸的可能性较小。仿真结果表明,提出的基于改进的蛙跳蛙跳算法的功率控制算法不仅可以提高目标SIR的可控性,而且可以降低用户传输功率,提高系统性能。

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