Sublinear Capacity Scaling Laws for Sparse MIMO Channels

Abstract

Recent attention on performance analysis of single-user multiple-input-multiple-output (MIMO) systems has been on understanding the impact of the spatial correlation model on ergodic capacity. In most of these works, it is assumed that the statistical degrees of freedom (DoF) in the channel can be captured by decomposing it along a suitable eigenbasis and… (More)
DOI: 10.1109/TIT.2010.2090255

Topics

4 Figures and Tables

Statistics

020406020112012201320142015201620172018
Citations per Year

65 Citations

Semantic Scholar estimates that this publication has 65 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Raghavan2011SublinearCS, title={Sublinear Capacity Scaling Laws for Sparse MIMO Channels}, author={Vasanthan Raghavan and Akbar M. Sayeed}, journal={IEEE Transactions on Information Theory}, year={2011}, volume={57}, pages={345-364} }