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In order to improve the capacity of massive multiple input multiple output(MIMO) systems, this paper proposes an optimization method of beamforming and power allocation based on the statistical channel state information. The proposed beamforming aims to optimize the signal-to-leakage-plus-noise ratio(SLNR) and the power allocation is optimized to maximize the system capacity. The former beamforming problem can be solved analytically and the later problem is reformulated to an equivalent problem with multiple variables, which can be iteratively solved. Each iteration of the problem has a closed-form solution. Simulation results show that the proposed algorithm can significantly improve the system capacity.