Superimposed Pilot Optimization Design and Channel Estimation for Multiuser Massive MIMO Systems

Xiaorong Jing*, Mengwan Li, Hongqing Liu, Shaoqian Li, Gaofeng Pan

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摘要

For massive multiuser multiple input multiple output (MIMO) (MU-MIMO) systems, pilot contamination (PC) and data interference (DI) are two main factors that affect the accuracy of the superimposed pilot (SP) based channel estimation, provided that the channel coherence time is less than the total number of users. In this paper, to tackle the effect of the PC, we propose a block-diagonal Grassmannian line packing (GLP) approach, in which the specific sequences for different cells are first designed based on the GLP, and then are block-diagonally extended to form the SP matrices for the users in different cells. To also alleviate the effect of DI on the channel estimation, with the designed SP matrices, an iterative channel estimation (ICE) method based on Tikhonov regularization is presented. The impact that the proposed ICE method has on the signal-To-interference-plus-noise ratio with matched filtering receiver is theoretically analyzed. Moreover, the optimal power allocation factor to the SP by maximizing the spectral efficiency (SE) of the target cell is also derived. Numerical results show that the proposed ICE method with the designed SP matrices effectively mitigates the effects of the PC and DI, and hence, improves the accuracy of channel estimation and further the SE of the massive MU-MIMO systems.

源语言英语
文章编号8489887
页(从-至)11818-11832
页数15
期刊IEEE Transactions on Vehicular Technology
67
12
DOI
出版状态已出版 - 12月 2018
已对外发布

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引用此

Jing, X., Li, M., Liu, H., Li, S., & Pan, G. (2018). Superimposed Pilot Optimization Design and Channel Estimation for Multiuser Massive MIMO Systems. IEEE Transactions on Vehicular Technology, 67(12), 11818-11832. 文章 8489887. https://doi.org/10.1109/TVT.2018.2875480