Computer Science – Information Theory
Scientific paper
2009-11-02
Computer Science
Information Theory
Submitted to IEEE Transactions on Information Theory
Scientific paper
This paper is devoted to the design of precoders maximizing the ergodic mutual information (EMI) of bi-correlated flat fading MIMO systems equiped with MMSE receivers. The channel state information and the second order statistics of the channel are assumed available at the receiver side and at the transmitter side respectively. As the direct maximization of the EMI needs the use of non attractive algorithms, it is proposed to optimize an approximation of the EMI, introduced recently, obtained when the number of transmit and receive antennas $t$ and $r$ converge to $\infty$ at the same rate. It is established that the relative error between the actual EMI and its approximation is a $O(\frac{1}{t^{2}})$ term. It is shown that the left singular eigenvectors of the optimum precoder coincide with the eigenvectors of the transmit covariance matrix, and its singular values are solution of a certain maximization problem. Numerical experiments show that the mutual information provided by this precoder is close from what is obtained by maximizing the true EMI, but that the algorithm maximizing the approximation is much less computationally intensive.
Artigue Cedric
Loubaton Philippe
No associations
LandOfFree
On the precoder design of flat fading MIMO systems equipped with MMSE receivers: a large system approach does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with On the precoder design of flat fading MIMO systems equipped with MMSE receivers: a large system approach, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On the precoder design of flat fading MIMO systems equipped with MMSE receivers: a large system approach will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-29735