Computer Science – Information Theory
Scientific paper
2011-04-26
Computer Science
Information Theory
7 pages, 2 figures, to be presented at IEEE International Symposium on Information Theory (ISIT), Saint Petersburg, Russia, Ju
Scientific paper
We consider a certain class of large random matrices, composed of independent column vectors with zero mean and different covariance matrices, and derive asymptotically tight deterministic approximations of their moments. This random matrix model arises in several wireless communication systems of recent interest, such as distributed antenna systems or large antenna arrays. Computing the linear minimum mean square error (LMMSE) detector in such systems requires the inversion of a large covariance matrix which becomes prohibitively complex as the number of antennas and users grows. We apply the derived moment results to the design of a low-complexity polynomial expansion detector which approximates the matrix inverse by a matrix polynomial and study its asymptotic performance. Simulation results corroborate the analysis and evaluate the performance for finite system dimensions.
Debbah Merouane
Hoydis Jakob
Kobayashi Mari
No associations
LandOfFree
Asymptotic Moments for Interference Mitigation in Correlated Fading Channels 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 Asymptotic Moments for Interference Mitigation in Correlated Fading Channels, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Asymptotic Moments for Interference Mitigation in Correlated Fading Channels will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-296139