Path loss predicting and optimization using Whale Optimization Algorithm and Sine Cosine Optimization Algorithm

Abstract In mobile communication, accurate path loss prediction is an essential feature of network planning and optimization. However, each type of path loss propagation model is designed to predict path loss in a specific environment, which may be inaccurate in another environment. In this research different propagation models Hata Model, Cost-231 Model and Ericson Model have been analyzed and compared based on the measured data. Experimental measurements of path loss for the GMS and 3G frequency band are made in urban, suburban, and rural areas of Aintouta, Chaabat and Rasslma from Batna city. Measured data are compared with those obtained by three prediction models, for models fitting to the measured path loss and for a deviation error estimation was used the root mean square error (RMSE). The Whale Optimization Algorithm and sine cosine optimization algorithm is used to tune the models parameters.