Economic Modeling of Radio Resource Management: A Novel Metaheuristic Approach

In this paper we introduce a constrained hybrid PSO algorithm, called Improved Hybrid Particles Swarm Optimization (I-HPSO), in order to find feasible solutions to the problem of resource allocation in the downlink of a multi-cell WCDMA system. An economic model is developed that considers the utility of the provided service, the acceptance probability of the service by the users and the revenue generated for the network operator. The performance of the proposed I-HPSO is compared with those of several other metaheuristics. The obtained results indicate that the proposed approach achieves superior accomplishment. Keywords— Radio Resource Management, Particle Swarm Optimization, Simulated Annealing, Genetic Algorithms.