Particle Swarm Optimization for Resource Allocation in OFDMA

Particle swarm optimization (PSO) is a well- known technique in artificial intelligence (AI) for n- dimensional optimization problems. In this paper we extend the application of PSO to physical layer of communication systems and propose a simple target-customized PSO algorithm that could be used in centralized iterative optimization techniques. It is applied here for the sub-carrier allocation in OFDMA and shown that to significantly reduce the computation complexity and increases the flexibility compared with conventional techniques.