Beamforming Capacity Optimization for Rician MIMO Wireless Channels

The beamformer that maximizes the ergodic beamforming capacity under correlated (or uncorrelated with non-unit covariance matrix) Rician MISO channels can be calculated in the context of a simple one-dimensional optimization problem, according to the solution proposed in [1]. The present work extends this concept and provides a new simple and practically feasible solution for the corresponding Rician MIMO propagation channels. Simulation results demonstrate that: a. the optimum beamformer further improves capacity compared to the max SNR Beamformer, b. the proposed one-dimensional search method that is employed to solve the optimum beamforming problem has significantly lower computational complexity compared to currently used (multi-dimensional) algorithms.