Novel Distributed Downlink Resource Allocation Methods for Heterogeneous Networks

This paper proposes novel distributed subchannel and power allocation algorithms for heterogeneous networks. First, we introduce a subchannel allocation algorithm that minimizes the maximum effective interference experienced by users in the network. We analytically prove that the proposed subchannel allocation algorithm minimizes the effective interference in the network. Subsequently, two power control algorithms are presented for the power allocation problem, and their convergence analysis is given. Afterward, the improvement in throughput by utilizing the proposed power control algorithm is shown by simulations. Finally, the proposed subchannel and power allocation algorithms are combined to form a joint resource allocation method, which is shown to outperform existing distributed resource allocation methods in the literature.