Iterative random beamforming for MIMO-OFDM systems

It has been shown in the literature that capacity region of the Gaussian broadcast channels is achieved by dirty paper coding but due to full channel state information requirement and high complexity, its application is limited. Several multiple-input multiple-output (MIMO) techniques have been proposed for the orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we consider a cellular system employing MIMO-OFDM technique and beamforming with the goal of maximizing the system throughput. We use an approach based on iterative random orthogonal beamforming and correlation between the subcarriers which exploits orthogonality conditions of the scheduled users with reduced feedback. By simulation results, it is observed that this approach improves the throughput of the system with lower complexity.