大规模MIMO系统基于小区分类-交叉熵的导频调度算法

Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO

大规模MIMO系统利用基站端配备大量天线来服务多用户,但受到小区间干扰产生的导频污染影响。针对导频污染设计了一种导频调度方案。导频调度问题属于排列优化问题,在寻找最优解过程中使用贪婪算法时计算复杂度很大,同时为了降低小区间干扰,利用小区分类和交叉熵机制提出了一种新的导频调度方案,以减轻导频污染对系统的影响。仿真结果表明,所提出的算法不仅能够有效提升系统性能,还能降低计算复杂度。

The massive MIMO system is equipped with a large number of antennas at the base station to serve many users,but it is affected by the inter-cell interference which called pilot contamination.A pilot scheduling scheme was designed to reduce the effect of pilot contamination.Pilot scheduling problem belongs to the arrangement optimization problem,and the algorithm computational complexity of greedy algorithm to search the optimal solution is greatly.In order to reduce the influence of the interference of the community,a new pilot scheduling schemes was proposed by so this article using cell classification and cross entropy(CE)mechanism to reduce the effect of pilot contamination on the system.The simulation results show that the proposed algorithm can not only improve the performance of the system,but also reduce the computational complexity.