基于平均信干比增益的基站群分簇模型  

Base stations clustering model based on average of signal to interference ratio gain

作　　者：李坤[1] 黄开枝[1] 鲁国英[1] 周磊 

机构地区：[1]国家数字交换系统工程技术研究中心 [2]解放军72556部队

出　　处：《计算机应用研究》2012年第12期4699-4702,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(61171108)

摘　　要：当获取的信道状态信息(CSI)失真时,现有分簇模型不能有效指导分簇,导致得到的簇结构不佳,协同性能降低。针对此问题,提出了一种基于平均信干比增益的基站群分簇模型。模型以基站协同的平均信干比增益来度量基站间协同愿望程度,以平均信干比增益之和最大化为目标进行分簇,从而把分簇后系统协同性能最大化的目标转换为分簇后系统平均信干比增益之和最大化。仿真结果表明,CSI失真时,利益树分簇方案在平均信干比增益分簇模型下得到的性能,相比于协同度模型提升了0.3 bps/Hz。With channel state information（CSI） distortion,the existing clustering model did not guide clustering so well that led to bad cluster structure and low cooperation performance.Aiming at the issues,this paper proposed a clustering model based on the average signal to interference ratio（SIR） gain.It measured the base stations cooperation degree by the average SIR gain in the model,and performed clustering aiming at maximizing the sum of average SIR ratio gain.Then the clustering objective of maximizing the system performance was approximately to maximizing the sum of average SIR ratio gain in base stations.Simulation results show that,with the CSI distortion,the benefit-tree clustering scheme under the proposed clustering model provides a 0.3 bps/Hz increasing of the average system performance compared with the scheme under the clustering model based on degree of wiliness to cooperate.

关 键 词：小区间干扰 平均信干比增益 分簇 协同处理 信道状态信息 

分 类 号：TN929.53[电子电信—通信与信息系统]