分层异构网络中基于斯坦克尔伯格博弈的资源分配算法

An Algorithm of Resource Allocation Based on Stacklberg Game in Heterogeneous Hierarchical Wireless Networks

分层异构网络中当家庭基站与宏基站共享频谱时,它们之间总是存在干扰,导致用户性能较差。如何分配资源以获得高谱率和高容量、保证用户性能一直是研究的重点。本文提出了一种异构蜂窝网络中基于斯坦克尔伯格博弈的家庭基站与宏基站联合资源分配算法,算法首先基于图论的分簇算法对家庭基站进行分簇,并与宏用户联合信道分配,以减少家庭基站之间的同层干扰和家庭基站层与宏蜂窝的跨层干扰;然后建立了联合家庭基站发射功率以及宏用户接入选择的斯坦克尔伯格博弈,推导出领导层博弈达到纳什均衡时的家庭基站发射功率的表达式,并据此为宏用户选择合适的接入策略。效用函数考虑用户的信干噪比,保证用户的性能。仿真结果表明,该算法能够有效地提高宏用户的信干噪比(SINR),家庭用户的性能也得到改善。

Macrocells and femtocells always interfere with each other in heterogeneous hierarchical wireless networks when they share spectrum,causing bad performance of users. How to allocate resource to achieve high spectrum utility and high capcity,ensure users’ performance is the point of researching. In this paper,a joint macrocell and femtocell resource allocation algorithm based on stackelberg game in heterogeneous hierarchical wireless networks is proposed. At first,a clustering algorithm based on graph theory is used to divide femtocells into several clusters,and a joint channel allocation schem for femtocell clusters and macro users is applied to decrease the co-tier interference among femtocells as well as the crosstier interference between macrocell and femtocells. Then this paper puts forward an algorithm based on stackelberg game which combines femtocell transmitting power control with macro user（ MU） access selection. The expression of FBSs’（ femtocell base station） transmitting power when the leader game achieves the Nash Equilibrium（ NE） is also derived in this paper. According to the NE of FBSs,macro users choose the suitable base station to access. Utility functions consider users’ SINR,which can guarantee users performance. Simulation results show that the algorithm can effctively increase the SINR of macro users and improve the performance of femto users as well.