Optimum path loss model calibration for prediction DTTV propagation in urban area of southern Thailand

Abstract

This article offers an optimum path loss model calibration for the prediction of DTTV propagation in an urban area of southern Thailand by selecting the urban area of Hat Yai, Songkla Province where there is density of high rises and buildings as a data collecting place. The data are collected from the measurement of the network operators’ transmitted signal levels among four channels: CH26 with the frequency of 514 MHz; CH42 with the frequency of 642 MHz; CH46 with the frequency of 674 MHz and CH54 with the frequency of 738 MHz, whereas the distance from the transmitted station ranges between 2.5 and 6.5 km. The calibration is conducted through a method of mean error (ME) and root mean square error (RMSE) from the value of the received signal and the calibrated model’s efficient indicator is through the value of relative error (RE). The analytical results of ME and RMSE show that the new Hata Path Loss Model is optimal for the calibration as its RE value is not only closer to zero but also closer to the measured data than the original model or other compared models. The path loss calibration with ME value is more accurate and more suitable for the work of the network design than the ones using RMSE value.