Interference Alignment Performance on MIMO X Channels With Imperfect Channel Knowledge
Interference Alignment (IA) can achieve the optimal degrees of freedom in interference-limited wireless systems. Popular IA schemes assume perfect global knowledge of the MIMO channels at all transmitters and receivers. In this paper, the authors investigate the error rate performance of interference alignment in MIMO M?2 X systems at practical signal to noise ratios. Through theoretical analysis and Monte Carlo simulations, they analyze the effect of imperfect channel estimation at the receiver and transmitter on the bit error rate performance of zero-forcing interference alignment.