On a Mutual Information and a Capacity Bound Gap of Pilot-Aided MIMO Channels

2011 ◽  
Author(s):  
Adriano Pastore ◽  
Michael Joham ◽  
Javier Rodriguez Fonollosa
Keyword(s):  
Mutual Information ◽  
Mimo Channels ◽  
Capacity Bound

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.

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

Analysis of Capacity Bound on Two-User Transmitter Preprocessing Weak Interference MIMO Channels

2013 ◽  
Vol 694-697 ◽  
pp. 2564-2567
Author(s):  
Mang Liao ◽  
Meng Xing Wang ◽  
Ling Xu Jin
Keyword(s):  
Information Theory ◽  
Open Problem ◽  
Interference Channels ◽  
Capacity Region ◽  
Mimo Channels ◽  
Sum Rate ◽  
Simulation Results ◽  
Capacity Bound ◽  
Weak Interference

In information theory (IT), it is an open problem for thirty years to establish an entire capacity bound of two-user Gaussian weak interference network. Under the assumption that channel situation information (CSI) is known at transmitter, we analyze the effects of three methods of transmitter preprocessing on performance of weak interference MIMO channels. Due to treat weak interference as noise, the bounds on the capacity region of two-user Gaussian weak interference channels (ICs) with the three transmitter preprocessing methods are derived. Compared with the performance without transmitter preprocessing, the sum rate in our system is larger. Finally the simulation results are proposed to be consistent with the theorem.

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

Capacity of the Class of MIMO Channels With Incomplete CDI—Properties of Mutual Information for a Class of Channels

2009 ◽  
Vol 55 (8) ◽  
pp. 3725-3734 ◽  
Author(s):  
Charalambos D. Charalambous ◽  
Stojan Z. Denic ◽  
Costas Constantinou
Keyword(s):  
Mutual Information ◽  
Mimo Channels
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