Abstract

For the uplink multicell massive multiple-input multiple-output (MIMO) block fading systems, a two-dimensional smoothed l0 channel estimation method (2D-SL0-CE) with the aid of virtual channel representation is firstly exploited in this paper, which can jointly estimate the desired multiuser channels of the target cell and the interference links from neighbor cells without inducing pilot contamination. Then, a 2D-SL0 signal detection method (2D-SL0-SD) with the aid of sparse decomposing and the modified 2D sl0 recovery algorithm is proposed, which can jointly decode M-ary phase-shift keying (MPSK) signal block for whole desired users. Moreover, an improved 2D-SL0-SD is also proposed to remove multiuser interference of neighbor cells in high SNR scenario. Simulation results show that the 2D-SL0-CE method can remove performance floor induced by pilot contamination and need less pilot overhead than the conventional least square (LS) method. When detecting QPSK signal blocks at 12 dB SNR, the 2D-SL0-SD method with perfect channel state information (CSI) can obtain 10−2 BER. Moreover, in the case of 8PSK signals, the 2D-SL0-SD joining with the 2D-SL0-CE can obtain 10−2 BER at 20 dB SNR.

Details

Title
Multicell multiuser massive MIMO channel estimation and MPSK signal block detection applying two-dimensional compressed sensing
Author
Ye, Xinrong 1   VIAFID ORCID Logo  ; Zhang, Aiqing 2 ; Gan, Zheng 3 ; Li, You 4 ; Gao, Xiqi 4 

1  National Mobile Communications Research Laboratory, Southeast University, Nanjing, People’s Republic of China; College of Physics and Electronic Information, Anhui Normal University, Wuhu, People’s Republic of China 
2  College of Physics and Electronic Information, Anhui Normal University, Wuhu, People’s Republic of China 
3  Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, UK 
4  National Mobile Communications Research Laboratory, Southeast University, Nanjing, People’s Republic of China 
Pages
1-10
Publication year
2018
Publication date
Oct 2018
Publisher
Springer Nature B.V.
ISSN
16871472
e-ISSN
16871499
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1186/s13638-018-1252-9
ProQuest document ID
2118232310
Copyright
EURASIP Journal on Wireless Communications and Networking is a copyright of Springer, (2018). All Rights Reserved., © 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.