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A Low-Complexity Detection Method Based on Iteration for Massive MIMO Systems
Li H1,2; Zhao X1,2; Guo C2; Wang X2
2017-12
Conference NameIEEE International Conference on Communication Software and Networks
Conference Date2017.05.05-2017.05.08
Conference Place中国广州
Abstract

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.

KeywordMassive Mimo Signal Detection Iteration Matrix Blocking
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21047
Collection国家专用集成电路设计工程技术研究中心
Affiliation1.中国科学院大学
2.中国科学院自动化研究所
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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