  In this paper, we analyze a multiple-input multiple-output (MIMO)
interference channel where nodes are randomly distributed on a plane as a
spatial Poisson cluster point process. Each cluster uses interference alignment
(IA) to suppress intra-cluster interference but unlike most work on IA, we do
not neglect inter-cluster interference. We also connect the accuracy of channel
state information to the distance between the nodes, i.e. the quality of CSI
degrades with increasing distance. Accounting for the training and feedback
overhead, we derive the transmission capacity of this MIMO IA ad hoc network
and then compare it to open-loop (interference-blind) spatial multiplexing.
Finally, we present exemplary system setups where spatial multiplexing
outperforms IA due to the imperfect channel state information or the
non-aligned inter-cluster interference.
