A Caltech Library Service

The dirty MIMO multiple-access channel

Khina, Anatoly and Kochman, Yuval and Erez, Uri (2016) The dirty MIMO multiple-access channel. In: 2016 IEEE International Symposium on Information Theory (ISIT). IEEE , Piscataway, NJ, pp. 1481-1485. ISBN 978-1-5090-1807-9.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


In the scalar dirty multiple-access channel, in addition to Gaussian noise, two additive interference signals are present, each known non-causally to a single transmitter. It was shown by Philosof et al. that for strong interferences, an i.i.d. ensemble of codes does not achieve the capacity region. Rather, a structured-codes approach was presented, which was shown to be optimal in the limit of high signal-to-noise ratios (SNRs), where the sum-capacity is dictated by the minimal (“bottleneck”) channel gain. In the present work, we consider the multiple-input multiple-output (MIMO) variant of this setting. In order to incorporate structured codes in this case, one can utilize matrix decompositions, which transform the channel into effective parallel scalar dirty multiple-access channels. This approach however suffers from a “bottleneck” effect for each effective scalar channel and therefore the achievable rates strongly depend on the chosen decomposition. It is shown that a recently proposed decomposition, where the diagonals of the effective channel matrices are equal up to a scaling factor, is optimal at high SNRs, under an equal rank assumption.

Item Type:Book Section
Related URLs:
URLURL TypeDescription DOIArticle ItemJournal Article
Khina, Anatoly0000-0003-2359-1678
Additional Information:© 2016 IEEE.
Record Number:CaltechAUTHORS:20160823-160229741
Persistent URL:
Official Citation:A. Khina, Y. Kochman and U. Erez, "The dirty MIMO multiple-access channel," 2016 IEEE International Symposium on Information Theory (ISIT), Barcelona, Spain, 2016, pp. 1481-1485. doi: 10.1109/ISIT.2016.7541545 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:69867
Deposited By: Tony Diaz
Deposited On:23 Aug 2016 23:25
Last Modified:11 Nov 2021 04:20

Repository Staff Only: item control page