Beamforming design for the MIMO downlink for maximizing Weighted Sum-Rate

Author

Agarwal, Rajiv ; Cioffi, John M.

Author_Institution

Dept. of Electr. Eng., Stanford Univ., Stanford, CA

fYear

2008

fDate

7-10 Dec. 2008

Firstpage

1

Lastpage

6

Abstract

This work studies linear transmit filter design for weighted sum-rate (WSR) maximization in the multiple input multiple output broadcast channel (MIMO-BC). The problem of finding the optimal transmit filter is non-convex and intractable to solve. Motivated by the iterative algorithm that solves for the optimal transmit and receive filters for minimizing sum-mean square error (MSE), this paper suggests to use weighted minimum mean square error (WMMSE) optimization in the MIMO-BC. The paper presents an iterative algorithm to maximize WSR. Numerical results for sum-rate using the derived filter are provided under different system settings.

Keywords

MIMO communication; array signal processing; broadcast channels; filtering theory; iterative methods; least mean squares methods; MIMO downlink; beamforming design; iterative algorithm; multiple input multiple output broadcast channel; optimal transmit filter; sum-mean square error minimization; weighted minimum mean square error; weighted sum-rate maximization; Array signal processing; Base stations; Downlink; Iterative algorithms; MIMO; Meteorological radar; Nonlinear filters; Receiving antennas; Throughput; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Theory and Its Applications, 2008. ISITA 2008. International Symposium on

Conference_Location

Auckland

Print_ISBN

978-1-4244-2068-1

Electronic_ISBN

978-1-4244-2069-8

Type

conf

DOI

10.1109/ISITA.2008.4895555

Filename

4895555