分层异构网络中基于负载预测分组的家庭基站频谱分配算法研究

针对分层异构网络中严重的干扰问题,提出一种基于负载预测分组的家庭基站频谱分配算法。该算法通过对各个家庭基站以及宏基站的历史负载信息优化得到对未来时段的负载预测信息。利用得到的各家庭基站的负载预测值对小区内的家庭基站进行分组,通过分组后每个小组独立地使用和分配频谱资源,从而有效的降低家庭基站之间的同层干扰。仿真数据表明由于采用了基于负载预测分组的家庭基站频谱分配算法,系统的SINR和吞吐量都有明显的提高,干扰得到了有效的抑制。

Load Forecasting Based Femtocell Clustering Spectrum Allocation Algorithm Research In Heterogeneous Network

The Interference problem in heterogeneous network is serious, this paper proposes a femtocell spectrum allocation algorithm in load forecasting based grouping method.In this algorithm stastics of historical load in both femtocells and macrocells were used to get and optimize the future load informations.Then all the femtocells were clustered by using the future load informations,each cluser allocates spectrum independently.By this way, interference of the same layer can be reduced effectively.The simulation datas show that due to the adoption of the load forecasting based femtocell clustering spectrum allocation algorithm, the SINR and throughput of system were highly improved,the interference problem was effectively solved.