Radio network TETRA path loss calculation by statistical polynomial kernel radial wavelet network models for RSSI predication and comparison in undulating area

Abstract

Radio Network planning is the most important part of the whole network design owing to its proximity to mobile users. But previous methods did not consider the proper selection of training parameters with various type of environment in radio telecommunication network. Hence, a novel Radio Network TETRA Path Loss Calculation by statistical Polynomial Kernel Radial Wavelet Network Models for RSSI Predication and Comparison in Undulating Area has been proposed for TETRA path loss calculation by deterministic, empirical also RSSI Predication and effectively select the parameters in different environment. In existing techniques, the parameter selection such as radio wave path calculation, frequency, antenna heights, distance, angle elevation are not analysed accurately. Hence, a novel technique namely Polynomial Kernel Radial Wavelet Network (PKRWN) has been proposed in which the attenuation clustering radio environment to estimate the value of path loss and radio telecommunication 5G network and provide statistical descriptions of the relationship between path loss and propagation parameters. Moreover, it suffers from low stability because Received Signal Strength Indicator (RSSI) is easily blocked and easily interfered by objects, environmental effects and climatic conditions. Hence, a novel technique namely Arid-Terrain-Ridge Based Integrational Radio Sensor Network has been proposed to get a good stability of RSSI in various environmental effects such as urban, suburban, rural, hilly, plain, desert area. Also, in which the Deterministic and empirical statistical approach used to estimate the field strength. As a result, it accurately estimates the appropriate parameters in radio telecommunication network with various environment with good stability and predications of RSSI.

URN:NBN:sciencein.jist.2024.v12.758