scholarly journals The Impact of Physical Channel on Performance of Subspace-Based Channel Estimation in Massive MIMO Systems

2015 ◽  
Vol 14 (9) ◽  
pp. 4743-4756 ◽  
Author(s):  
Mohammed Teeti ◽  
Jun Sun ◽  
David Gesbert ◽  
Yingzhuang Liu
Electronics ◽  
2018 ◽  
Vol 7 (10) ◽  
pp. 218 ◽  
Author(s):  
Kifayatullah Bangash ◽  
Imran Khan ◽  
Jaime Lloret ◽  
Antonio Leon

Traditional Minimum Mean Square Error (MMSE) detection is widely used in wireless communications, however, it introduces matrix inversion and has a higher computational complexity. For massive Multiple-input Multiple-output (MIMO) systems, this detection complexity is very high due to its huge channel matrix dimension. Therefore, low-complexity detection technology has become a hot topic in the industry. Aiming at the problem of high computational complexity of the massive MIMO channel estimation, this paper presents a low-complexity algorithm for efficient channel estimation. The proposed algorithm is based on joint Singular Value Decomposition (SVD) and Iterative Least Square with Projection (SVD-ILSP) which overcomes the drawback of finite sample data assumption of the covariance matrix in the existing SVD-based semi-blind channel estimation scheme. Simulation results show that the proposed scheme can effectively reduce the deviation, improve the channel estimation accuracy, mitigate the impact of pilot contamination and obtain accurate CSI with low overhead and computational complexity.


2020 ◽  
pp. 1-1
Author(s):  
Lei Zhou ◽  
Jisheng Dai ◽  
Weichao Xu ◽  
Chunqi Chang

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 49738-49749
Author(s):  
Ting Jiang ◽  
Maozhong Song ◽  
Xuejian Zhao ◽  
Xu Liu

2018 ◽  
Vol 67 (12) ◽  
pp. 11818-11832 ◽  
Author(s):  
Xiaorong Jing ◽  
Mengwan Li ◽  
Hongqing Liu ◽  
Shaoqian Li ◽  
Gaofeng Pan

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