Enhanced iterative max-sum-rate algorithm for linear MU-MIMO precoding

Author

Na, Chongning ; Hou, Xiaolin ; Harada, Atsushi

Author_Institution

DOCOMO Beijing Commun. Labs. Co., Ltd., Beijing, China

fYear

2011

fDate

11-14 Sept. 2011

Firstpage

1495

Lastpage

1499

Abstract

Multi-user multiple input multiple output (MU-MIMO) systems can achieve high spectral efficiency for wireless communication. The design of optimal transmit precoding for max-sum-rate (MSR) MU-MIMO downlink transmission is a non-trivial problem. Recent research approached this problem by exploiting the relationship between max-sum-rate and the minimum-mean-squared-error (MMSE) and proposed several iterative schemes. Based on these research results, we propose enhanced iterative MSR algorithms for linear MU-MIMO precoding which improve the sum rate performance and reduce the computational complexity. The effectiveness of the proposed method is verified by numerical simulations.

Keywords

MIMO communication; communication complexity; iterative methods; mean square error methods; precoding; MU-MIMO downlink transmission; computational complexity; iterative max-sum-rate algorithm; linear MU-MIMO precoding; minimum-mean-squared-error; multiuser multiple input multiple output system; optimal transmit precoding; spectral efficiency; wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Personal Indoor and Mobile Radio Communications (PIMRC), 2011 IEEE 22nd International Symposium on

Conference_Location

Toronto, ON

ISSN

pending

Print_ISBN

978-1-4577-1346-0

Electronic_ISBN

pending

Type

conf

DOI

10.1109/PIMRC.2011.6139752

Filename

6139752