Performance Evaluation on Rank Adaptation of MIMO Transmission Method Using Probabilistic Interference Arrival Information Assuming Probability Prediction Error

Rank adaptation is important for robust multiple-input multiple-output (MIMO) transmission in the presence of arriving interference. If the traffic pattern of an interferer is complex, the arrival of interference may only be predicted probabilistically. Therefore, we have proposed a method for effective rank adaptation based on such probabilistic interference arrival information. The proposed method calculates the channel capacity for each pattern of interference arrival in advance and selects the rank that gives the maximum expected capacity. A conventional method selects the rank that gives the maximum channel capacity. The effectiveness of the proposed method is verified by simulations assuming Nakagami-Rice fading channel and prediction error of interference arrival probability. It is confirmed that the proposed method can achieve higher spectral efficiency than the conventional method.