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A hierarchical game-based power allocation algorithm in 5G heterogeneous integrated networks
EURASIP Journal on Wireless Communications and Networking ( IF 2.6 ) Pub Date : 2020-12-01 , DOI: 10.1186/s13638-020-01866-3
Geng Chen , Luyao Ma , Qingtian Zeng , Jinjin Zhang

In this paper, we proposed a novel power allocation algorithm based on hierarchical game in 5G heterogeneous integrated networks. The radio network controller is the first layer, the base stations are the second layer, and the base station users are the third layer. The stackelberg game model is used between the first and second layers, in which the radio network controller is the leader and the base stations are the followers. The radio network controller sets the interference prices for the base stations and the users in the third layer can update their transmission power by non-cooperative game based on the setting interference price. According to the proposed scheme, the users power allocation can reach the Nash equilibrium through by non-cooperative game and obtain the optimal transmission power. Moreover, it is proved that the equilibrium solution is composed of the optimal price and the optimal transmission power, and the convergence of this algorithm is also verified. The simulation results show that the proposed algorithm can decrease the interference and improve the system capacity.



中文翻译:

5G异构集成网络中基于分层游戏的功率分配算法

本文提出了一种基于分层博弈的5G异构集成网络功率分配算法。无线电网络控制器是第一层,基站是第二层,基站用户是第三层。在第一和第二层之间使用Stackelberg游戏模型,其中无线电网络控制器是领导者,基站是跟随者。无线电网络控制器设置基站的干扰价格,并且第三层的用户可以基于设置的干扰价格通过非合作游戏来更新其发射功率。根据提出的方案,用户功率分配可以通过非合作博弈达到纳什均衡,并获得最优的传输功率。此外,证明了均衡解是由最优价格和最优传输功率组成的,并且证明了该算法的收敛性。仿真结果表明,该算法可以减少干扰,提高系统容量。

更新日期:2020-12-01
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