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Empirical Path Loss Models Optimization for Mobile Communication

In this paper, the most widely used empirical path loss models are compared to real data; the most appropriate one (COST-231) has been optimized using three different algorithms to fit measured data for mobile communication system. The performance of the adjusted Cost-231 model obtained by the proposed methods is then compared to the experimental data. The concert criteria selected for the comparison of various empirical path loss models is the Root Mean Square Error (RMSE). From numerical simulations, it was noticed a significant improvement in the prediction made by the proposed algorithm with a slight superiority of PSO algorithm in term of lower RMSE value in one hand and in term of convergence speed in the other hand compared to GA and N-M method.