scholarly journals Antennas’ Correlation Influence on the GMD-assisted MIMO Channels Performance

2015 ◽  
Keyword(s):  
Mimo Channels

Outage Performance of Multi-Hop Decouple-and-Forward Relaying in Spatially Correlated MIMO Channels

2010 ◽  
Vol E93-B (5) ◽  
pp. 1298-1301 ◽  
Author(s):  
In-Ho LEE ◽  
Joong-Hoo PARK ◽  
Dongwoo KIM
Keyword(s):  
Mimo Channels ◽  
Outage Performance ◽  
Spatially Correlated

Capacity Analysis for Correlated Multi-Hop MIMO Channels under Colored Noise

2015 ◽  
Vol 1 ◽  
pp. 41
Author(s):  
Nguyen N. Tran ◽  
Ha X. Nguyen
Keyword(s):  
Computational Complexity ◽  
Mutual Information ◽  
Closed Form Solution ◽  
Optimal Solution ◽  
Form Solution ◽  
Maximization Problem ◽  
Capacity Analysis ◽  
Mimo Channels ◽  
Average Mutual Information ◽  
Channel Output

A capacity analysis for generally correlated wireless multi-hop multi-input multi-output (MIMO) channels is presented in this paper. The channel at each hop is spatially correlated, the source symbols are mutually correlated, and the additive Gaussian noises are colored. First, by invoking Karush-Kuhn-Tucker condition for the optimality of convex programming, we derive the optimal source symbol covariance for the maximum mutual information between the channel input and the channel output when having the full knowledge of channel at the transmitter. Secondly, we formulate the average mutual information maximization problem when having only the channel statistics at the transmitter. Since this problem is almost impossible to be solved analytically, the numerical interior-point-method is employed to obtain the optimal solution. Furthermore, to reduce the computational complexity, an asymptotic closed-form solution is derived by maximizing an upper bound of the objective function. Simulation results show that the average mutual information obtained by the asymptotic design is very closed to that obtained by the optimal design, while saving a huge computational complexity.

scholarly journals Compressed Sensing of Sparse Multipath MIMO Channels with Superimposed Training Sequence

2016 ◽  
Vol 94 (4) ◽  
pp. 3303-3325 ◽  
Author(s):  
Bilal Amin ◽  
Babar Mansoor ◽  
Syed Junaid Nawaz ◽  
Shree K. Sharma ◽  
Mohmammad N. Patwary
Keyword(s):  
Compressed Sensing ◽  
Training Sequence ◽  
Mimo Channels ◽  
Superimposed Training
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