Abstract:

To overcome the problem of the interference alignment schemes without CSIT(Channel State Information at Transmitters), we present a new IA(Interference Alignment) algorithm with blind source separation for K user MIMO(Multiple Input Multiple Output) interference channel on the basis of already built interference align
ment design at transmitters. According to the BSS(Blind Source Separation), we build the objective function for the model of the interference alignment. We
 centralize data by the method of separation individually, separate out each independent component, so that the desired signal is extracted by FastICA(Fast
 Independent Component Analysis) algorithm at receivers. Simulation results in Matlab show that this algorithm can effectively realize interference alignment w
ithout CSIT, and keep good BER（Bit Error Rate）performance.

Key words: blind interference alignment, fast independent component analysis(FastICA) algorithm, blind source separation, bit error rate(BER)