Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
One fundamental contributing factor to planning a workable and efficient wireless radio communication networks as well as improving existing ones lies on the ability to precisely predict the strength and coverage of radio signals between the transmitters and receivers in the system networks. The mathematical algorithms and tools used for these predictions are popularly referred to as propagation models. This research presents a detailed baseline surveyed of different types of propagation models and prediction techniques in cellular communication networks. Some of the key propagation models discussed include the Hata, SUI, Walfiscsh-Ikegami, Walficsh-Bertoni, Lee and ITU Models. The peculiar characteristics and limitations of the existing models has been shown. The research is completed by proposing an adaptive propagation prediction modelling algorithms which caters for stochastic signal attenuation phenomenon and the inhomogeneity of the spatial propagation channels.
How to cite this article:
Joseph Isabona, Virginia Chika Ebhota and Viranjay M. Srivastava. Base Line Knowledge on Propagation Modelling and Prediction
Techniques in Wireless Communication Networks.
DOI: https://doi.org/10.36478/jeasci.2018.1919.1934
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2018.1919.1934