An adaptive cooperation algorithm based on trade off between useful signal and interference alignment

In this paper, we design a cooperation algorithm for the constant MIMO interference channel that adapts the pre-coding and decorrelation matrices depending on system SNR. The algorithm sacrifices perfect interference alignment in some SNR regions when it becomes more beneficial to ameliorate the useful signal part instead of reaching perfect interference alignment. The proposed algorithm outperforms the minimum leakage interference alignment algorithm in terms of system sum-capacity at low and medium system SNR region. The convergence speed and fairness of the proposed algorithm are also studied.