摘要
为了降低天线选择算法在大规模多输入多输出(Multiple-Input Multiple-Output,MIMO)系统下的误码率和复杂度,以用户端接收的总功率为优化目标,提出一种最大化所有用户接收总功率的天线选择算法。该算法将优化目标函数转化为凸函数,并利用凸优化方法求得其有效解。仿真结果表明,所提天线选择算法与传统的最大和容量算法相比,具有较好的系统误码率性能,且运算复杂度低,但系统容量有所降低。
In order to reduce the bit error rate(BER) and complexity of the antenna selection algorithm in massive multiple-input multiple-output(MIMO) systems,based on the total power received by the user,an antenna selection algorithm is proposed to maximize the total power received by all users.The algorithm converts the optimization objective function into a convex function and uses the convex optimization method to obtain its effective solution.The simulation results show that the proposed antenna selection algorithm has better system BER performance than the traditional maximum and capacity algorithm,and the computational complexity is low,but the system capacity is reduced.
作者
李国民
李亚如
李新民
张浩雨
LI Guomin;LI Yaru;LI Xinmin;ZHANG Haoyu(School of Communication and Information Engineering,Xi′an University of Science and Technology,Xi′an 710054,China)
出处
《电讯技术》
北大核心
2019年第4期395-400,共6页
Telecommunication Engineering
基金
国家自然科学青年科学基金项目(61302133)
陕西省教育厅专项研计划项目(15JK1463
15JK1470)
关键词
大规模MIMO
发射天线选择
最大化总功率
凸优化
massive MIMO
transmit antenna selection
maximize total power
convex optimization