Resource allocation of 5G network by exploiting particle swarm optimization

The Orthogonal Frequency Division Multiplexing is widely used in the 5G network. However, resource allocation has become one of the main challenges in the 5G network. In this paper, the authors investigated the issues regarding resource allocation of the 5G network by particle swarm optimization (PSO). One of the subfields of Artificial Intelligence is the PSO. PSO global best algorithm along with the local best have proven efficient and employed in this paper. The PSO algorithm utilized to address it by obtaining the finest computation of costs. The issues of non-convex optimization are resolved by employing the PSO algorithm. The simulation results show that the performance of our algorithm can reach convergence and is better than the Genetic algorithm.