By Topic

Optimizing MIMO multipoint wireless networks assuming Gaussian other-user interference

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)

This paper shows how network information theory can lead to practical algorithms for optimizing multipoint wireless networks, whose transceivers are equipped with multiple-antenna elements. Modeling the other-user interference as colored Gaussian noise, it is demonstrated that network capacity can be realized using linear transmit and receive beamforming. Moreover, to optimize the mutual information for all the multiple-input-multiple-output (MIMO) channels, it suffices to consider a much simpler objective function that considers each data link in the network separately, treating all other transmitters as interference. This, in turn, leads to a network objective function, which fully exploits channel reciprocity, exploits MIMO channels, and simplifies the optimization of transmit beamformers across the network. A numerical example is provided showing more than an order of magnitude performance improvement over a conventional network.

Published in:

Information Theory, IEEE Transactions on  (Volume:49 ,  Issue: 10 )