一种适用于大规模MIMO无线通信系统的新颖波束选择算法

Low complexity beam selection scheme based on group-iteration algorithm

针对当前信道频谱资源日趋紧张,无法满足移动用户对通信速率需求的情况,本文提出一种适用于大规模MIMO无线通信系统的基于ANI算法的新颖波束选择方案。首先基于当前时隙的初始解,构造前一个时隙波束结果集的邻域矩阵集合作为迭代集合。然后,利用初始波束选择矩阵及其邻域矩阵之间的相关性,降低了邻域迭代过程的计算复杂度。最后,通过自适应调整邻域相关系数来获得最大化系统和速率,并以较低的复杂度选择当前时隙的波束结果集。通过与现有波速选择方案对比,本文所提方案在计算复杂度和能量效率等方面都有显著提高。

Due to the increasing shortage of channel spectrum resources,it cannot meet people's needs for communication.A novel adaptive neighbor iteration algorithm based beam selection scheme is proposed for massive MIMO wireless communication systems.In this paper,based on the initial solution of the current time slot,the neighborhood matrix set of the previous time slot beam result set is constructed as the iterative set.Then,the correlation between the initial beam selection matrix and its neighborhood matrix is used to reduce the computational complexity of the neighborhood iteration process.Finally,by adaptively adjusting the neighborhood correlation coefficient to maximize the system and rate,the beam result set with the current time slot is selected with low complexity.Compared with the existing wave velocity selection schemes,the proposed scheme is significantly improved in computational complexity and energy efficiency.