基于角度域的FDD大规模MIMO系统开销优化

Research on cost optimization of large-scale MIMO system in FDD

针对信道信息获取中导频开销与反馈开销过大的问题,研究了FDD大规模MIMO系统的开销优化。基于信道角度域大尺度参数的多样性,引入成簇多径信道模型,设计了一种角度域的开销优化方案。在此方案中,通过广播预先设计的预编码码本和用户强度反馈,在基站侧建立角度域的拓扑关系,进行整体用户调度与预编码码本分配。在典型仿真场景下,与传统方案相比,系统开销平均减少60%,系统和速率平均提升35%。通过角度域的码本匹配,有效减少了系统开销,提升了系统性能。

For the problem of excessive pilot overhead and feedback overhead in channel information acquisition,this paper studied the cost optimization of FDD massive MIMO system.Based on the diversity of large-scale parameters in the channel angle domain,it introduced a clustered multipath channel model,and jumped out the traditional framework.It designed an angle domain cost optimization scheme.In this solution,by pre-designing the pre-coded precoding code and user strength feedback,it established the topological relationship of the angle domain on the base station side,and performed the overall user scheduling and precoding codebook allocation.Through the codebook matching in the angle domain,it effectively reduced the system overhead,and improved the system performance.In a typical simulation scenario,it reduces the overhead by an average of 60%compared to the traditional solution,and increases the system and rate by an average of 35%.