Title :
Iterative SINR-Max Cooperative Beamforming in Multiuser MIMO Systems
Author :
Xi, Songnan ; Zoltowski, Michael D.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
Abstract :
We have proposed the SINR-max cooperative beamforming design, which aims to maximize the signal-to-interference-noise ratio of each user by exploiting the advantage of the full multiuser channel state information available at the transmitters. The SINR-max cooperative beamformers are solutions to a set of complicated equations and thus have no closed-form expression. In our previous work, statistical modeling is applied to beamformers to ease the mathematical complication but the obtained beamformers are not the exact solutions to original equations. In this paper, we proposed two iterative algorithms to solve for the exact SINR-max beamformer. Furthermore, the efficiency of the SINR-max cooperative beamforming design can be improved by adopting the power iteration method.
Keywords :
MIMO communication; interference (signal); iterative methods; multiuser channels; radio transmitters; statistical analysis; MIMO system; SINR-max cooperative beamforming; channel state information; iterative algorithm; multiuser channel; multiuser system; power iteration; signal-to-interference-noise ratio; statistical modeling; transmitter; Array signal processing; Base stations; Design engineering; Equations; Iterative algorithms; MIMO; Multiuser channels; Receiving antennas; Signal design; Signal to noise ratio; MIMO; SINR maximization; beamforming; multiuser; uplink;
Conference_Titel :
Sarnoff Symposium, 2008 IEEE
Conference_Location :
Princeton, NJ
Print_ISBN :
978-1-4244-1843-5
DOI :
10.1109/SARNOF.2008.4520090