We study a new IA strategy which is referred to as "Partial InterferenceCancelation-based Interference Alignment" (PIC-IA). Unlike the conventional IAstrategy, PIC-IA does not strive to eliminate interference from all users.Instead, it aims to remove the most significant interference signals. ThisPIC-IA strategy generalizes the conventional IA concept by addressing partial,instead of complete, interference cancelation. The feasibility of this newstrategy is studied in this paper. Our results show that for a symmetric,single-stream system with $N_t$ transmit antennas and $N_r$ receive antennas,the PIC-IA is feasible when the number of significant interference signals tobe removed at each receiver is no more than $N_t+N_r-2$, no matter how manyusers are in the network. This is in sharp contrast to the conventional IAwhose feasibility is severely limited by the number of users $K$.
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