A Low-Complexity Detection Method Based on Iteration for Massive MIMO Systems
Li H1,2; Zhao X1,2; Guo C2; Wang X2
2017-12
会议名称IEEE International Conference on Communication Software and Networks
会议日期2017.05.05-2017.05.08
会议地点中国广州
摘要

For uplink multi-user massive MIMO systems with hundreds of antennas at the base station (BS), minimum mean square error (MMSE) signal detection method is near-optimal due to the asymptotically orthogonal channel, but it involves matrix inversion with high complexity. In this paper, a lowcomplexity signal detection method in an iterative way is proposed to avoid the complicated matrix inversion. The convergence proof and complexity analysis of the proposed method are provided in detail. The analysis shows that the proposed method can effectively reduce the complexity by one order of magnitude. Simulation results demonstrate that the proposed method outperforms recently proposed Neumann series approximation method. Near-optimal performance of the MMSE method can be achieved with only a small number of iterations.

关键词Massive Mimo Signal Detection Iteration Matrix Blocking
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/21047
专题国家专用集成电路设计工程技术研究中心
作者单位1.中国科学院大学
2.中国科学院自动化研究所
推荐引用方式
GB/T 7714
Li H,Zhao X,Guo C,et al. A Low-Complexity Detection Method Based on Iteration for Massive MIMO Systems[C],2017.
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