CASIA OpenIR  > 国家专用集成电路设计工程技术研究中心
A High-Parallelism Detection Algorithm for Massive MIMO Systems
Li H1,2; Zhao X1,2; Guo C2; Wang D2
2017-10
Conference NameIEEE International Conference on Electronics Information and Emergency Communication
Conference Date2017.07.23-2017.07.26
Conference Place中国深圳
Abstract

Due to the asymptotically orthogonal channel, minimum mean square error detection algorithm is near-optimal for uplink massive MIMO systems, but it involves matrix
inversion with high complexity. This paper proposes a highparallelism detection algorithm in an iterative way to avoid the complicated matrix inversion. The parallelism level is analyzed and convergence is proved in detail. The proposed algorithm can
be implemented in a high level, which is equal to the max number of received data streams. The complexity can be reduced by one order of magnitude comparing with MMSE algorithm. Simulation results show that the proposed algorithm can closely
match the performance of the MMSE algorithm with few number of iterations. It also outperforms Neumann Series approximation algorithm in terms of block error rate (BLER) performance with same number of iterations. 

KeywordMassive Mimo Signal Detection High Parallelism Matrix Blocking
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/21041
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 High-Parallelism Detection Algorithm for Massive MIMO Systems[C],2017.
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