Interference Coordination Based Resource Allocation in Ultra-Dense Networks

In this paper, we propose an energy efficiency maximization resource allocation algorithm based on interference coordination. Firstly, the intra and inter cluster interference are coordinated by coloring theory and partial information interaction. Then the joint channel and power allocation problem is divided into two sub-problems to resolve. We first propose a novel maximum-minimum algorithm based on interference coordination for channel allocation and then introduce damped motion and fitness variance to modify particle swarm optimization (PSO) for power allocation. Simulation results show that our proposed algorithm has great improvement in suppressing interference as well as maximizing energy efficiency.