An Interference-Adjustable Distributed Algorithm for K-User MIMO Interference Networks
It is already well-known that Interference Alignment (IA) achieves the sum capacity of the K-user interference channel at the high interference regime. On the other hand, it is clear that in the very low interference regime, K (as opposed to K/2) Degrees of Freedom (DoF) can be accessed by simple ("Myopic") single-link Multiple-Input Multiple-Output (MIMO) techniques such as waterfilling. Recent results have indicated that in certain low-to-moderate interference cases, treating interference as noise may in fact be more preferable. In this paper, the authors present a distributed iterative algorithm for K-user MIMO interference networks which attempts to adjust itself to the interference regime at hand, in the above sense.