Low-Complexity Iterative Detection for Large-Scale Multiuser MIMO-OFDM Systems Using Approximate Message Passing

2014 ◽  
Vol 8 (5) ◽  
pp. 902-915 ◽  
Author(s):  
Sheng Wu ◽  
Linling Kuang ◽  
Zuyao Ni ◽  
Jianhua Lu ◽  
Defeng Huang ◽  
...  
Keyword(s):  
Message Passing ◽  
Large Scale ◽  
Low Complexity ◽  
Iterative Detection ◽  
Ofdm Systems ◽  
Multiuser Mimo ◽  
Approximate Message Passing ◽  
Mimo Ofdm

scholarly journals Main-Branch Structure Iterative Detection Using Approximate Message Passing for Uplink Large-Scale Multiuser MIMO Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-12
Author(s):  
Qifeng Zou ◽  
Xuezhi Tan ◽  
Mei Liu ◽  
Lin Ma
Keyword(s):  
Message Passing ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Large Scale ◽  
Mimo Systems ◽  
Mimo System ◽  
Detection Methods ◽  
Iterative Detection ◽  
Multiuser Mimo ◽  
Approximate Message Passing

The emerging large-scale/massive multi-input multioutput (MIMO) system combined with orthogonal frequency division multiplexing (OFDM) is considered a key technology for its advantage of improving the spectral efficiency. In this paper, we introduce an iterative detection algorithm for uplink large-scale multiuser MIMO-OFDM communication systems. We design a Main-Branch structure iterative turbo detector using the Approximate Message Passing algorithm simplified by linear approximation (AMP-LA) and using the Mean Square Error (MSE) criterion to calculate the correlation coefficients between main detector and branch detector for the given iteration. The complexity of our method is compared with other detection algorithms. The simulation results show that our scheme can achieve better performance than the conventional detection methods and have the acceptable complexity.

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