Title :
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
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;
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
DOI :
10.1109/ISITA.2008.4895555
