Performance comparison of optimized resource allocation in comp LTE-A using iterative subgradient method and PSO

Inter-cell interference (ici) is a primary factor that limits the capacity of any wireless cellular system. recently,base stations cooperation (i.e.,comp lte-advanced) is seen as a promising way to reduce ici through coordination. in comp,the allocation of crucial resources such as subcarrier and power should be carefully determined because the resource allocation strategies of cells in comp affect each other's performance. our previous work proposed an optimized resource allocation (ora) scheme that maximizes proportional fairness utility subject to user minimum rate requirement and available base station (bs) power constraints. selecting appropriate tool to solve any optimization problem is very important because different tools may results in different level of complexity,convergence rate and searching capabilities. in this paper,we carry out simulation study to investigate the performance of our ora scheme by using different optimization tools. the first tool is iterative subgradient method and the second tool is metaheuristics optimization algorithm,namely particle swarm optimization (pso). based on numerical results,pso gives the best performance in terms of mean values,standard deviations and processing time compared to iterative subgradient algorithm.