[1]李亚玲. 密集飞蜂窝网中基于博弈论的最佳功率分配法[J].计算机技术与发展,2016,26(10):169-172.
　LI Ya-ling. Optimal Power Allocation Strategy Based on Stackelberg Game Approach in Dense Femtocell Networks[J].,2016,26(10):169-172.
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 密集飞蜂窝网中基于博弈论的最佳功率分配法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年10期
页码:
169-172
栏目:
应用开发研究
出版日期:
2016-10-10

文章信息/Info

Title:
 Optimal Power Allocation Strategy Based on Stackelberg Game Approach in Dense Femtocell Networks
文章编号:
1673-629X（2016)10-0169-04
作者:
 李亚玲
 南京邮电大学 通信与信息工程学院
Author(s):
 LI Ya-ling
关键词:
 ; 飞蜂窝; 智能定价; 功率分配; 博弈论; 内罚函数法; 纳什均衡点
Keywords:
 ; femtocell; smart pricing; power allocation; Stackelberg game; interior penalty ;  function method; Nash equilibrium
分类号:
TP301
文献标志码:
A
摘要:
 研究了异构蜂窝网在同频组网方式下飞蜂窝网用户( FUEs)上行传输功率分配方案。为了保证宏蜂窝的服务质量，控制所有FUEs对宏基站( MBS)的总干扰不超过预先设定的干扰门限Q。将MBS的资源分配问题建立为一个博弈问题，采用干扰智能定价机制，并提出内罚函数法通过迭代算法求最佳干扰价格。在飞蜂窝网用户功率控制问题上，采用一种更加实际的场景，即FUE不知道其他FUE发送功率信息，并提出并行迭代功率控制算法。该算法可以保证收敛于纳什均衡点( NE)，即各个FUEs可以获得最佳功率分配。通过仿真可看到，并行迭代功率分配算法会收敛于最佳发送功率，内罚函数法也会收敛于最佳干扰价格。该方案可有效控制MBS频谱资源分配以及FUEs对MBS的干扰，从而确保宏蜂窝网用户的传输性能。
Abstract:
 The uplink transmission power allocation strategy of Femtocell User Equipments ( FUEs) in heterogeneous cellular networks is studied,in which a central macrocell is underlaid with some femtocells,all operating over the same frequency band. In order to ensure the service quality of the macrocell,the total interference of all FUEs to Microcell Base Station ( MBS) is kept below an interference power constraint Q. In this paper, the resource allocation problem of MBS is modeled as a Stackelberg game, and interference smart pricing scheme and present interior penalty function method is adopted,obtaining optimal interference price by iterating algorithm. In order to solve the power allocation problem of FUEs,a more realistic case is considered in which FUEs do not know others strategy,and a parallel iterative power update algorithm is used. It can be guaranteed to converge to the Nash Equilibrium ( NE) ,that is each FUEs gets optimal power allocation. Simulation shows that parallel iterative power update algorithm can converge to the optimal transmit power and interior penalty function method can converge to the optimal interference price. This strategy can effectively control the spectrum resource alloca-tion of MBS and interference of FUEs to MBS,ensuring the transmission performance of macrocell users.

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更新日期/Last Update: 2016-11-29