A High-Parallelism Detection Algorithm for Massive MIMO Systems
Li H1,2; Zhao X1,2; Guo C2; Wang D2
2017-10
会议名称IEEE International Conference on Electronics Information and Emergency Communication
会议日期2017.07.23-2017.07.26
会议地点中国深圳
摘要

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. 

关键词Massive Mimo Signal Detection High Parallelism Matrix Blocking
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/21041
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 High-Parallelism Detection Algorithm for Massive MIMO Systems[C],2017.
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