Tuning of Cost-231 Hata Model for Radio Wave Propagation Predictions

In this paper, tuning of COST-231 Hata prediction method has been carried out based on experiments at 2.3 GHz using WiMAX transmissions conducted in western India. Fine tuning of the model is carried out using large number of measurement records to increase the accuracy of the prediction. The parameters of this model are tuned based on a linear iterative tuning method. The path loss predictions of tuned model are compared with the original COST-231 Hata model. Mean errors, standard deviation of error of tuned COST-231 Hata model has been deduced and compared with original COST-231Hata model. Mean error calculated by tuned model reduces by 14.3 dB and reduction of 3.5 dB is achieved in standard deviation of error. Root mean square error and coefficient of variation of tuned model are used to validate the tuning method. Root mean square error of tuned model reduces by 14.4 dB compared with the original COST-231 Hata model.