基于IAFS算法的毫米波大规模MIMO混合预编码方法  

Hybrid precoding method for millimeter-wave massive MIMO systems based on IAFS algorithm

作　　者：陈浩椅 李光球[1] 李辉 CHEN Haoyi;LI Guangqiu;LI Hui(School of Communication Engineering,Hangzhou Dianzi University,Hangzhou 310016,China)

机构地区：[1]杭州电子科技大学通信工程学院,浙江杭州310016

出　　处：《电信科学》2021年第8期77-84,共8页Telecommunications Science

摘　　要：毫米波大规模多输入多输出系统可以通过部分连接混合预编码方法克服其信号路径损耗带来的不利影响,具有硬件实现复杂度低、能量效率高的优点,当输入的数据流数与射频链路数相等时,可以采用基于串行干扰消除的混合预编码方法。当输入的数据流数与射频链路数不相等时,提出了一种基于改进人工鱼群(IAFS)算法的混合预编码方法。其核心思想是基于频谱效率最优化准则和部分连接结构的特点,将针对模拟预编码矩阵变量的频谱效率优化问题转化为基于矢量变量的频谱效率最优化问题,利用IAFS算法进行寻优求解完成预编码矩阵设计。仿真结果表明,所提方法在低信噪比条件下具有较好的频谱效率与能量效率性能,有望在现实场景中得到应用。The millimeter-wave massive multiple-input multiple-output(MIMO)systems can overcome the adverse effects of the free-space signal path loss through the partial connection hybrid precoding method,which has the ad-vantages of low hardware complexity and high energy efficiency.When the number of input data streams is equal to the number of radio frequency(RF)links,the hybrid precoding method based on partially connected structure and serial interference cancellation can be used.When the number of input data streams is not equal to the number of RF links,a hybrid precoding method based on improved artificial fish swarm(IAFS)algorithm was proposed.The core idea is that based on the spectral efficiency optimization criteria and the characteristics of partial connected structure,the spectral efficiency optimization problem of analog recoding matrix variables was transformed into the spectral efficiency optimization problem based on vector variables,and then the IAFS algorithm was used to solve the spectrum efficiency optimization problem.The simulation results show that the proposed method has good spectral efficiency and energy ef-ficiency under the condition of low signal-to-noise ratio,and is expected to be applied in the real scene.

关 键 词：毫米波 大规模多输入多输出 部分连接 混合预编码 改进人工鱼群算法 

分 类 号：TN919[电子电信—通信与信息系统]