Ibhaze, Augustus E. and Ajose, Simeon O. and Atayero, A. A. and Idachaba, F.E. (2016) Propagation Model Optimization Based on Measurement from Macrocell Sites in Ikorodu-Epe, South-Western Nigeria. In: 3rd International Conference On African Development Issues (CU-ICADI), May 9- May 11 2016, Covenant University, Ota, Nigeria.
PDF
Download (1MB) |
Abstract
To engage any nation in wealth creation, human capacity development and improved standard of living, the need arises to install trendy technological innovations and efficient infrastructures such as reliable and efficient telecommunication systems. This paper therefore, investigates large scale propagation models used to predict the mean signal strength for an arbitrary transmitter-receiver separation distance with the aim of improving the telecommunication system infrastructure which will engender sustainable infrastructure and technology. The study has been conducted in an urban settlement in the Ikorodu – Epe region to develop and optimize a suitable propagation model based on the existing propagation models. The proposed propagation models are the Free Space Path Loss Propagation Model, Okumura – Hata Model, COST 231 Model, SUI Model and Ericsson Model. The optimized COST 231 model showed better performance and is proposed for propagation prediction involving such terrain. Root Mean Square Error (RMSE) statistical tool was used to achieve the optimization
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Uncontrolled Keywords: | Propagation; sustainable development; capacity development; wealth creation; infrastructure, path loss. |
Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
Depositing User: | Mrs Hannah Akinwumi |
Date Deposited: | 28 Jun 2016 07:55 |
Last Modified: | 28 Jun 2016 07:55 |
URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/6651 |
Actions (login required)
View Item |