Characterizing the statistical properties of mutual information in MIMO channels: insights into diversity-multiplexing tradeoff

2003 ◽  
Author(s):  
O. Oyman ◽  
R.U. Nabar ◽  
H. Bolcskei ◽  
A.J. Paulraj
Keyword(s):  
Mutual Information ◽  
Statistical Properties ◽  
Mimo Channels ◽  
Diversity Multiplexing Tradeoff

Characterizing the statistical properties of mutual information in mimo channels

2003 ◽  
Vol 51 (11) ◽  
pp. 2784-2795 ◽  
Author(s):  
O. Oyman ◽  
R.U. Nabar ◽  
H. Bolcskei ◽  
A.J. Paulraj
Keyword(s):  
Mutual Information ◽  
Statistical Properties ◽  
Mimo Channels

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.

Ergodic Mutual Information Analysis for Multi-Keyhole MIMO Channels

2011 ◽  
Vol 10 (6) ◽  
pp. 1754-1763 ◽  
Author(s):  
Caijun Zhong ◽  
Shi Jin ◽  
Kai-Kit Wong ◽  
Matthew R. McKay
Keyword(s):  
Mutual Information ◽  
Information Analysis ◽  
Mimo Channels ◽  
Mutual Information Analysis
Sign in / Sign up

Export Citation Format

Share Document