DocumentCode
1759745
Title
Joint Unitary Triangularization for Gaussian Multi-User MIMO Networks
Author
Khina, Anatoly ; Livni, Idan ; Hitron, Ayal ; Erez, Uri
Author_Institution
Dept. of Electr. Eng. - Syst., Tel Aviv Univ., Tel Aviv, Israel
Volume
61
Issue
5
fYear
2015
fDate
42125
Firstpage
2662
Lastpage
2692
Abstract
The problem of transmitting a common message to multiple users over the Gaussian multiple-input multiple-output broadcast channel is considered, where each user is equipped with an arbitrary number of antennas. A closed-loop scenario is assumed, for which a practical capacity-approaching scheme is developed. By applying judiciously chosen unitary operations at the transmit and receive nodes, the channel matrices are triangularized so that the resulting matrices have equal diagonals, up to a possible multiplicative scalar factor. This, along with the utilization of successive interference cancellation, reduces the coding and decoding tasks to those of coding and decoding over the single-antenna additive white Gaussian noise channel. Over the resulting effective channel, any off-the-shelf code may be used. For the two-user case, it was recently shown that such joint unitary triangularization is always possible. In this paper, it is shown that for more than two users, it is necessary to carry out the unitary linear processing jointly over multiple channel uses, i.e., space-time processing is employed. It is further shown that exact triangularization, where all resulting diagonals are equal, is still not always possible, and appropriate conditions for the existence of such are established for certain cases. When exact triangularization is not possible, an asymptotic construction is proposed, that achieves the desired property of equal diagonals up to edge effects that can be made arbitrarily small, at the price of processing a sufficiently large number of channel uses together.
Keywords
AWGN channels; MIMO communication; broadcast channels; decoding; interference suppression; matrix multiplication; multiuser channels; radiofrequency interference; wireless channels; Gaussian multiple input multiple output broadcast channel; Gaussian multiuser MIMO network; capacity-approaching scheme; channel matrix; joint unitary triangularization; multiplicative scalar factor; single-antenna additive white Gaussian noise channel; successive interference cancellation; unitary linear processing; Covariance matrices; Encoding; MIMO; Matrix decomposition; Transmitting antennas; Vectors; Gaussian MIMO; Matrix decompositions; common-message broadcast; physical-layer multicast; space–time modulation; space???time modulation; successive interference cancellation;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2015.2409836
Filename
7056559
Link To Document