By Topic

Worst-case MSE precoder design for imperfectly known MIMO communications channels

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
$31 $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

2 Author(s)
Yongfang Guo ; Dept. of Electr. & Comput. Eng., Univ. of California, Davis, CA, USA ; Levy, B.C.

This paper considers a worst-case precoder design problem for multiple-input multiple-output (MIMO) wireless communication systems with imperfect channel knowledge at the transmitter. When the MIMO channel is a full-row rank matrix, which arises generically when the number nT of transmit antennas is greater or equal to the number nR of receive antennas, and when channel state information is known perfectly at the transmitter, the channel can be equalized exactly by employing a precoder equal to the channel pseudo-inverse. However, in actual systems, it is necessary to take into account the channel estimation error. We consider here a worst-case precoder design problem where the goal is to find the precoder minimizing the equalization mean-square error for the least favorable channel located in a ball centered about the estimated channel. Lagrangian optimization is used to convert this min-max problem into a min-min convex minimization problem over a convex domain which can be solved in closed form. The robust precoder and associated least favorable channel have an intuitive interpretation since the least-favorable channel zeroes out the weakest subchannels, and the robust precoder implements a pseudo-inverse only for the remaining subchannels.

Published in:

Signal Processing, IEEE Transactions on  (Volume:53 ,  Issue: 8 )