Use of meta-heuristic Algorithm to optimize Ericsson propagation Model application on LTE

In this paper the Pachycondyla Apicalis Algorithm is used to optimize and identify the optimal parameters of the Ericsson propagation model. The API is one among many metaheuristic algorithms, which are nature- inspired algorithms, the API is mainly based on the collaborative hunting concept of the Pachycondyla Apicalis ants. For this reason, the API algorithm is adopted to inspect the large space of solutions for locating the most appropriate parameters values of Ericsson propagation model to be more adapted to the real data and the environment of the eNB under study. The obtained results show that the API gives a good result and the proposed model offers near-real model for the problem of Path Loss estimation.