Radio wave propagation models are extremely important in radio network planning, design as well as in interference planning. All the models predict mean path loss as a function of different variables such as frequency, distance between transmitting and receiving antenna, antenna heights, etc. Radio propagation is essential for emerging technologies with appropriate design, deployment and management strategies for any wireless network. It is heavily site specific and can vary significantly depending on terrain, frequency of operation, velocity of mobile terminal, interface sources and other dynamic factor. Accurate characterization of radio channel through key parameters and a mathematical model is important for predicting signal coverage, achievable data rates, BER and Antenna gain. Path loss models for macro cells such as Okumura, Hata and COST 231 models are analyzed and compared their parameters. In order to estimate the signal parameters accurately for mobile systems, it is necessary to estimate a system's propagation characteristics through a medium. Propagation analysis provides a good initial estimate of the signal characteristics. Large scale path loss modeling plays a fundamental role in designing both fixed and mobile radio systems. Predicting the radio coverage area of a system is not done in a standard manner. Wireless systems are expensive systems. Therefore, before setting up a system one has to choose a proper method depending on the channel's BTS antenna height gain. By proper selecting the above parameters there is a need to select the particular communication model which show good result by considering the these parameters. Finally the comparison of base station antenna height gain is obtained. The comparison of this parameters is being done in Matlab using Matlab editor, command window and figure window.

Antenna gain Correction factor Empirical models Personal communication system