密集家庭基站网络中基于分簇的资源分配方案

摘要

For femtocell downlink interference in the case of dense deployment of femtocells,a cluster-based resource allocation scheme was proposed.Firstly,Fractional Frequency Reuse (FFR) was used to divide all cells into difference spatial regions,which could suppress the co-tier interference among macrocells and cross-tier interference between a macrocell and femtocells.Secondly,all the femtocells were divided into disjoint clusters based on the knowledge of graph theory and convex optimization theory,then a channel allocation algorithm based on fairness of rate was adopted to assign sub-channel to the femtocell user equipment,for limiting the co-tier interference among femtocells.Finally,a distributed power control algorithm was used to adjust the power of femtocells dynamically to improve the performance of the system.The simulation results show that,compared with the conventional clustering method,the proposed algorithm can improve the Signal-to-Interference plus Noise Ratio (SINR) and throughput,and the probability of system throughput below 4 Mb/s was reduced to 30％.At the same time,compared with the non-grouping algorithm,the fairness of the proposed algorithm was improved by 12％,which could make users get higher satisfaction.%针对家庭基站密集部署情况下的下行干扰问题,提出一种基于分簇的资源分配方案.首先,采用部分频率复用(FFR)技术将网络中所有小区划分成不同的空间,既能抑制宏基站之间的同层干扰,又能降低边缘区域宏基站与家庭基站间的跨层干扰;然后,结合图论的知识及凸优化理论对家庭基站进行分簇,并采用基于用户速率公平的信道分配算法对家庭基站进行子信道分配,抑制家庭基站间的同层干扰;最后,采用分布式功率控制算法对家庭基站功率进行动态调整,进一步提升系统的性能.仿真结果表明:相比传统未分组算法,所提算法的信干噪比(SINR)和吞吐量有明显提高,其中,系统吞吐量低于4 Mb/s的概率降低为30％;同时,与未分组算法相比,所提算法公平性提高了12％,使用户获得更高的满意度.