基于互动决策的毫微微基站频谱复用算法研究  

Study of spectral reuse algorithm in femto-cell networks based on interactive strategy-decision scheme

作　　者：陶桦[1,2] 陶永刚[1] 

机构地区：[1]东南大学网络与信息中心,南京210096 [2]东南大学计算机科学与工程学院,南京210096

出　　处：《计算机应用研究》2015年第9期2746-2749,共4页Application Research of Computers

基　　金：国家交通部科技项目(2012-364-222-203)

摘　　要：在毫微微网络与传统蜂窝网络两层网络中,由于毫微微基站可以为附近的宏基站用户提供服务,且宏基站将一部分频谱分配给毫微微基站,毫微微基站与宏基站之间存在层间干扰,这限制了网络的性能。针对这一问题,研究了可提高网络性能的频谱复用算法。算法基于斯坦科尔伯格主从博弈理论,将宏基站建模为主博弈者,将毫微微基站建模为从博弈者;然后分别将宏基站与毫微微基站的利用率作为平均吞吐量与失真率函数,阐述了主从博弈者之间的交互无须任何代价;最后得出了对宏基站与毫微微基站都最优的频谱复用机制。仿真结果表明所提复用算法可有效提高网络的利用率。In the two-tier networks consisting of femto-ce11 networks and conventional cellular networks, due to the fact that femto-cell base stations can provide services to nearby macro-cell users, and that macro base stations release a fractional spec- trum to the femto-cell base station, there exists cross-tier interference between femto-cell base stations and macro stations, which limits the network performance. For this problem, this paper studied the spectral reuse algorithm that can improve the network performance. Firstly, based on the Stackelberg leader-follower game theory, the algorithm modeled the macro base station as the leader, and modeled the femto-cell station as the follower. Secondly, it used the utilities of macro base stations and femto-cll stations as the average throughput and the distortion-rate function respectively, to state that the interaction be- tween the leader and the follower needs no price in the proposed strategy. Finally, it proposed the optimal strategies of spectral reuse for both macro base stations and femto-cell base stations. Simulation results show that the proposed algorithm can effec- tively improve the network utilities.

关 键 词：毫微微网络 层间干扰 频谱复用 互动决策 

分 类 号：TN915[电子电信—通信与信息系统]