毫米波大规模MIMO混合预编码优化交替最小化算法  

Alternating minimization algorithm with hybrid precoding optimization in millimeter wave massive MIMO

作　　者：王婷[1] 吴君钦[1] WANG Ting;WU Junqin(School of Information Engineering,Jiangxi University of Science and Technology,Ganzhou 341000,China)

机构地区：[1]江西理工大学信息工程学院,江西赣州341000

出　　处：《现代电子技术》2021年第15期17-22,共6页Modern Electronics Technique

基　　金：国家自然科学基金管理项目(61741109)。

摘　　要：为了解决毫米波MIMO系统采用的模拟/数字混合预编码器导致频谱效率损失增大,以及算法计算复杂度高等问题,提出了基于黎曼最陡下降(RSD)法的交替最小化算法来逼近全数字预编码器的性能。首先,算法用交替优化数字预编码器与模拟预编码器的单回路结构,简化传统算法中复杂的嵌套循环结构;其次,通过改进梯度计算方法降低了由大矩阵Kronecker乘积引起的计算复杂度;最后,将RSD⁃AltMin扩展到采用正交频分复用的宽带系统。经实验仿真结果表明,提出的RSD⁃AltMin方法相比MO⁃AltMin具有更低的计算复杂度和更快的处理速度,同时更逼近最优数字预编码频谱效率。Since the analog/digital hybrid precoder used in the millimeter wave MIMO(multiple⁃input multiple⁃output)system may lead to an increase in spectral efficiency loss and a high computational complexity of the algorithm,an alternating minimization algorithm based on Riemann′s steepest descent(RSD)method is proposed to approximate the performance of an alldigital precoder.In the algorithm,the single⁃loop structure of alternate optimization digital precoder and the analog precoder is used to simplify the complex nested loop structure of the traditional algorithm.And then,the calculation complexity caused by the large matrix Kronecker product is reduced by the calculation method with improved gradient.Finally,the RSD⁃AltMin is extended to a broadband system using orthogonal frequency division multiplexing(OFDM).The simulation experimental results show that the RSD⁃AltMin method proposed in this paper has lower computational complexity and faster processing speed than MO⁃AltMin,which is much closer to the optimal digital precoding spectral efficiency.

关 键 词：交替最小化算法 毫米波MIMO系统 混合预编码 系统模型 正交频分复用 复杂度分析 仿真分析 

分 类 号：TN919.31-34[电子电信—通信与信息系统]