Inter-cell interference management for heterogenous networks based on belief propagation algorithms

Inter-cell interference coordination (ICIC) and resource allocation problems are fundamental challenges for the design of wireless networks. In this paper, we propose a distributed network inter-cell control scheme, and introduce a Belief Propagation (BP) framework to solve the optimization problem. The goal is to maximize the sum rate of those Base Stations (BS). This new approach assumes that the inter-cell interference is a set of stochastic variables. Based on a set of prior distributions, it calculates the posterior distributions of the scheduling variables. The solution allocates PRBs to Mobile Stations (MS) in the cells, including optimization of the transmit powers in each subcarrier. Numerical results demonstrate that this algorithm achieves a good result in typically a couple of iterations.