Optical MIMO Communications: A Large Deviation Approach

Speakers: 
Aris Moustakas, National Capodistrian University of Athens, Greece
Date: 
Wednesday, February 20, 2013 - 14:00 to 15:00
Location: 
Council room of L2S (room B4.40), Supélec, campus of Gif-sur-Yvette, Supélec.

Abstract: MIMO processing techniques in fiber optical communications have been proposed as a promising approach to meet increasing demand for information throughput. In this context, the multiple channels correspond to the multiple modes and/or multiple cores in the fiber. The lack of back-scattering necessitates the modeling of the transmission coefficients between modes as elements of a unitary matrix. Also, due to the scattering between modes the channel is modeled as a random Haar unitary matrix between M transmitting and N receiving modes. In this paper, we apply a large-deviations approach from random matrix theory to obtain the outage capacity for Haar matrices in the low outage limit, which is appropriate for fiber-optical communications. This methodology is based on the Coulomb gas method for the eigenvalues of a matrix developed in statistical physics. By comparing our analytic results to simulations, we see that, despite the fact that this method is nominally valid for large number of modes, our method is quite accurate even for small to modest number of channels.

Biography: Aris Moustakas received a B.S. degree in physics from Caltech in 1990 and M.S. and Ph.D. degrees in theoretical condensed matter physics from Harvard University in 1992 and 1996, respectively. He joined Bell Labs, Lucent Technologies, NJ in 1998, first in the Physical Sciences Division and then also in the Wireless Advanced Technology Laboratory. He is currently a faculty member in the Physics Dept. of the National Capodistrian University of Athens, Greece. His main research interests lie in the areas of multiple antenna systems and the applications of game theory and statistical physics to the theory of communications and networks.

The presentation will be broadcasted on XiMinds.