Interference Alignment based Distributed Resource Allocation Schemes for HetNets

摘要

We investigate Interference Alignment (IA) techniques for a Macrocell/Femtocell coexisting Heterogeneous Network (HetNet) on the same frequency. As transmit powers of the different nodes in HetNets are very disparate, convergence of existing IA distributed algorithms, Leakage minimization (LM) and the Maximum Sig-nal-to-Interference-plus-Noise-Ratio (Max. SINR) designed for K-pair MIMO systems, is not guaranteed. Thus, we propose a hybrid distributed algorithm well-suited to the power constraints in HetNets. In addition, we also design distributed Macrocell user scheduling algorithms. Proposed schemes provide high sum-rate performance both at the Macrocell and Femtocells, while reducing the required computational complexity compared to reference algorithms.