Interference Alignment for Partially Connected MIMO Cellular Networks

Abstract

In this paper, we propose an iterative interference alignment (IA) algorithm\nfor MIMO cellular networks with partial connectivity, which is induced by\nheterogeneous path losses and spatial correlation. Such systems impose several\nkey technical challenges in the IA algorithm design, namely the overlapping\nbetween the direct and interfering links due to the MIMO cellular topology as\nwell as how to exploit the partial connectivity. We shall address these\nchallenges and propose a three stage IA algorithm. As illustration, we analyze\nthe achievable degree of freedom (DoF) of the proposed algorithm for a\nsymmetric partially connected MIMO cellular network. We show that there is\nsignificant DoF gain compared with conventional IA algorithms due to partial\nconnectivity. The derived DoF bound is also backward compatible with that\nachieved on fully connected K-pair MIMO interference channels.\n