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基于格拉斯曼流形的多用户大规模混合预编码
冯湘云, 周小平, 王培培, 汪洋
上海师范大学 信息与机电工程学院, 上海 201418
摘要:
针对大规模天线系统采用全数字预编码时,所需射频链的数量较多而导致实现成本和硬件复杂度较高的问题,提出了一种基站端的两级混合预编码方案.该方案以最小化均方误差为准则,设计预编码矩阵的目标函数,并采用基于格拉斯曼流形的共轭梯度算法对目标函数进行求解.仿真结果表明:所提出的混合预编码方法能有效降低硬件实现复杂度,同时性能接近全数字预编码方式.
关键词:  混合预编码  格拉斯曼流形  共轭梯度算法
DOI:10.3969/J.ISSN.1000-5137.2020.01.007
分类号:TN929.5
基金项目:上海市自然科学基金(16ZR1424500);上海地方院校能力建设项目(19070502900)
Massive hybrid precoding of multi-user based on Glassmann manifolds
FENG Xiangyun, ZHOU Xiaoping, WANG Peipei, WANG Yang
College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 201418, China
Abstract:
In order to solve the problem of high implementation cost and hardware complexity due to the large number of radio frequency chains required in large-scale systems where full digital precoding was adopted,a two-stage mixed precoding scheme for base station terminal was proposed.The objective function of the pre-coded matrix was designed based on the minimum mean square error,and the objective function was solved by using the conjugate gradient algorithm based on the Glassmann manifolds.Simulation results showed that the proposed hybrid precoding method could effectively reduce the complexity of hardware implementation with its performance close to that of full digital precoding.
Key words:  hybrid precoding  Glassmann manifolds  conjugate gradient algorithm