摘要
针对传统大规模MIMO部署过多天线导致硬件成本和空间资源的浪费,选择基于虚拟信道的大规模MIMO系统,能够复用天线资源,在一根天线上传输多路数据流。针对传统的大规模MIMO信号检测方法,无法直接应用在虚拟大规模MIMO,提出了联合MMSE-ML检测算法,先检测出每根天线叠加的混合数据,再区分出单路数据,能够在保证良好检测性能下,降低检测算法的复杂度。仿真结果和复杂度分析表明,该方法在大规模MIMO中,相比传统大规模MIMO能节约天线数量保证检测性能,复杂度因天线数减少而降低。
The traditional massive Multiple Input Multiple Output(MIMO) deployment of too many antennas leads to the cost of hardware and the waste of space resources. A large-scale MIMO system based on virtual channels can be selected to reuse the antenna resources and transmit multiple data streams on one antenna. In view of the traditional large scale MIMO signal detection method, it can not be applied directly to the virtual large-scale MIMO. A joint Minimum Mean Square Error-Maximum Likelihood(MMSE-ML) detection algorithm is proposed, which first detects the mixed data of each antenna, and then divides the single path data. It can reduce the complexity of the detection algorithm under the good detection performance. The simulation results and complexity analysis show that the method can save the number of antenna detection performance compared with the traditional large scale MIMO in large scale MIMO, and the complexity is reduced because of the decrease of the number of antennas.
作者
苗荣臻
周渊平
马耀庭
陈闽鄂
MIAO Rong-zhen;ZHOU Yuan-ping;MA Yao-ting;CHEN Min'e(College ofElectronic Information,Sichuan University,Chendu Sichuan 610065,China)
出处
《计算机仿真》
北大核心
2019年第11期167-170,共4页
Computer Simulation
