基于GA的毫米波MIMO系统的混合预编码算法  

Hybrid Precoding algorithm for Millimeter Wave MIMO Systems Based on GA

作　　者：常文慧 许鹏 田智佳 

机构地区：[1]沈阳航空航天大学电子信息工程学院,辽宁沈阳110136 [2]沈阳航空航天大学辽宁省空天信息感知与智能处理重点实验室,辽宁沈阳110136

出　　处：《工业控制计算机》2025年第4期72-73,95,共3页Industrial Control Computer

摘　　要：在毫米波大规模多输入输出(MIMO)系统中,针对在基于连续干扰消除(SIC)这类部分连接(PC)结构的混合预编码算法的求解,等效信道矩阵的设定以及算法应用需满足数据流数量等于射频(Radio Frequency,RF)链数量这一约束条件问题,提出一种基于遗传算法(GA)的混合预编码优化方案。该方案以频谱效率最大化为目标函数,直接对信道矩阵进行奇异值分解求出最优全数字预编码矩阵,其次在交替优化框架下采用GA算法求解模拟预编码矩阵,数字预编码矩阵设置为更普适的形式,消除了只能在RF链数量与数据流数量相等时才能应用混合预编码算法这一限制。仿真结果表明,所提混合预编码算法的频谱效率与能量效率皆优于传统SIC算法。In millimeter-wave massive multiple input multiple output(MIMO)systems,to address the problem of setting the equivalent channel matrix and applying algorithms in solving the partially-connected(PC)millimeter-wave massive MIMO hybrid precoding algorithm based on successive interference cancellation(SIC),where the number of data streams is constrained to be equal to the number of radio frequency(RF)chains,this paper proposes a hybrid precoding optimization solution based on genetic algorithm(GA).The proposed approach aims to maximize spectral efficiency as the objective function.It directly performs singular value decomposition on the channel matrix to obtain the optimal all-digital precoding matrix.Subsequently,within an alternating optimization framework,a GA is employed to solve for the analog precoding matrix.The digital precoding matrix is configured in a more general form,eliminating the restriction that hybrid precoding algorithms can only be applied when the number of RF chains equals the number of data streams.

关 键 词：大规模多输入多输出 毫米波 混合预编码 遗传算法 

分 类 号：TN911.7[电子电信—通信与信息系统]