关键词: 干扰对齐, 信道状态信息, 预测, 和速率

Abstract: The impacts of both noise and time-variation of channels on interference alignment in the K-user interference channel were analyzed. To revise the channel state information at transmitters, a Kalman filter-based algorithm was proposed. First, tracking prediction on channel coefficients is made based on the temporal correlation between them. Then, by combining the estimated value and the predicted value, a more accurate value of channel gain is obtained. Simulations reveal that the proposed algorithm can reduce the mean square error of channel estimations and thus improve the sum-rate of the system.

Key words: interference alignment, channel state information, predicting, sum-rate