  We study a new IA strategy which is referred to as "Partial Interference
Cancelation-based Interference Alignment" (PIC-IA). Unlike the conventional IA
strategy, PIC-IA does not strive to eliminate interference from all users.
Instead, it aims to remove the most significant interference signals. This
PIC-IA strategy generalizes the conventional IA concept by addressing partial,
instead of complete, interference cancelation. The feasibility of this new
strategy 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 to
be removed at each receiver is no more than $N_t+N_r-2$, no matter how many
users are in the network. This is in sharp contrast to the conventional IA
whose feasibility is severely limited by the number of users $K$.
