Robust user pairing algorithm under channel estimation errors for uplink virtual multiple-input multiple-output systems

2012 ◽  
Vol 6 (3) ◽  
pp. 318 ◽  
Author(s):  
Y. Rui ◽  
H. Hu ◽  
H. Yi ◽  
H.-H. Chen
Keyword(s):  
Channel Estimation ◽  
Multiple Input Multiple Output ◽  
Estimation Errors ◽  
Channel Estimation Errors ◽  
User Pairing ◽  
Multiple Input ◽  
Input Multiple Output

scholarly journals Effect of Antenna Mutual Coupling on MIMO Channel Estimation and Capacity

2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Xia Liu ◽  
Marek E. Bialkowski
Keyword(s):  
Channel Estimation ◽  
Mutual Coupling ◽  
Multiple Input Multiple Output ◽  
Mimo Channel ◽  
Channel State ◽  
Estimation Errors ◽  
Channel Estimation Errors ◽  
Perfect Channel State Information ◽  
Multiple Input ◽  
Input Multiple Output

This paper describes investigations into the antenna mutual coupling (MC) effect on channel estimation and capacity of a multiple-input multiple-output (MIMO) wireless communication system. The presented investigations close the gap existing in the previous works which assessed the effect of mutual coupling on MIMO capacity under the assumption of availability of perfect channel state information (CSI) at the receiver. The new approach assumes that the perfect CSI is not available due to channel estimation errors. The investigations are carried out for different spacing between array antenna elements producing a varying effect of mutual coupling on the channel estimation and the resulting MIMO channel capacity.

Joint Channel Estimation and Data Detection for STBC MIMO-OFDM Wireless Communication System

2015 ◽  
Vol 24 (04) ◽  
pp. 1550059 ◽  
Author(s):  
Gajanan R. Patil ◽  
Vishwanath K. Kokate
Keyword(s):  
Channel Estimation ◽  
Orthogonal Frequency Division Multiplexing ◽  
Multiple Input Multiple Output ◽  
Data Detection ◽  
Channel Estimate ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Ofdm ◽  
The Cost ◽  
Joint Channel

This paper presents a joint channel estimation and data detection technique for multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) system. Initial estimate of the channel is obtained using semi-blind channel estimation (SBCE). The whitening rotation (WR)-based orthogonal pilot maximum likelihood (OPML) method is used to obtain the channel estimate. The estimate is further enhanced by extracting information through the received data symbols. The performance of the proposed estimator is studied under various channel models. The simulation study shows that this approach gives better performance over training-based channel estimation (TBCE) and OPML SBCE methods but at the cost of higher computational complexity.

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