Game Theoretical Power Control in Heterogeneous Network

A. F. Isnawati, Mas Aly Afandi
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引用次数: 2

Abstract

The development of wireless technology has penetrated in femtocell communication systems, where this communication system is very flexible to develop. However, with many networks running simultaneously, which is called a heterogeneous network, a combination of macrocell and femtocell networks, interference between networks is unavoidable. To resolve this interference, it can be done with adaptive power control techniques by the user. Adaptive power control can be achieved through the use of Game Theory and also known as Power Control Game (PCG). By determining the appropriate utility function, the optimal power is obtained when using the power update iteration process. The results show that in the Proposed method when it reaches a convergent condition, both femto users and macro users are able to reach SINR that exceeds the target SINR of 5.496 for femto users and 10.04 for macro users. Meanwhile, the Distributed Power Control (DPC) method is only able to achieve the SINR user value which is the same as the target SINR, which is 5 and 10 for femto users and macro users, respectively. The Proposed method produces a higher SINR value for the user than the DPC method so that in terms of achieving the target SINR, it is possible to conclude that the Proposed approach is superior to the DPC.
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异构网络中的博弈论权力控制
无线技术的发展已经渗透到飞蜂窝通信系统中,这种通信系统的发展非常灵活。然而,由于多个网络同时运行,称为异构网络,即宏蜂窝网络和飞蜂窝网络的组合,网络之间的干扰是不可避免的。为了解决这种干扰,用户可以采用自适应功率控制技术。自适应功率控制可以通过使用博弈论来实现,也称为功率控制博弈(PCG)。通过确定合适的效用函数,在功率更新迭代过程中获得最优功率。结果表明,在所提出的方法中,当达到收敛条件时,femto用户和macro用户都能达到超过目标SINR (femto用户为5.496,macro用户为10.04)的SINR。同时,分布式功率控制(DPC)方法只能实现与目标SINR相同的用户值,femto用户和macro用户的SINR分别为5和10。建议的方法为用户产生比DPC方法更高的SINR值,因此在实现目标SINR方面,可以得出建议的方法优于DPC的结论。
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