Optimization of CCIR Pathloss Model Using Terrain Roughness Parameter
Journal Title: Mathematical and Software Engineering - Year 2017, Vol 3, Issue 1
Abstract
In this paper, optimizing CCIR pathloss model using terrain roughness parameter is presented. The study is based on field measurement of received signal strength and elevation profile data obtained in a suburban area of Uyo for 800 MHz GSM network. Particularly, in this paper, the mean elevation and the standard deviation of elevation are used separately to minimize the error using least square method. The results show that the untuned CCIR model has a RMSE of 28.8 dB and prediction accuracy of 77.4 %. On the other hand, both the pathloss predicted by the mean elevation tuned CCIR model and the pathloss predicted by the standard deviation of elevation tuned CCIR model have the same RME of 3.9 dB and prediction accuracy of 97.6 %. The terrain roughness correction factors are the same value (that is, C_M ̅ = C_Š= 28.50882771). The RMSE of 3.9dB shows that the terrain roughness parameter-based tuning approach can effectively be used to minimize the prediction error of the CCIR model within the acceptable value which is about 7dB to 10 dB for suburban and rural areas.
Authors and Affiliations
Nathaniel Chimaobi Nnadi, Ifeanyi Chima Nnadi, Charles Chukwuemeka Nnadi
Comparative Analysis of the Impact of Frequency on the Radius of Curvature of Single and Double Rounded Edge Hill Obstruction
In this paper, comparative analysis of the impact of frequency on the radius of curvature of single and double rounded edge hill obstruction is studied, particularly when the International Telecommunication Union (ITU) r...
Optimization of CCIR Pathloss Model Using Terrain Roughness Parameter
In this paper, optimizing CCIR pathloss model using terrain roughness parameter is presented. The study is based on field measurement of received signal strength and elevation profile data obtained in a suburban area o...
Design of Web-Based Customer Relation Management Application for Power Distribution Company: A Case Study of PHCN Owerri Business Unit
In this paper, the design of web-based customer care application for power distribution company is presented with Power Holding Company of Nigeria (PHCN) Owerri business unit as the case study. The system is developed t...
Modelling and Forecasting of Residential Electricity Consumption in Nigeria Using Multiple Linear Regression Model and Quadratic Regression Model with Interactions
In this paper statistical analysis of residential electricity demand in Nigeria is presented. Multiple linear regression model and quadratic regression model with interactions are applied to estimate residential electric...
Cluster-Based Call Acceptance Principle for Optimum Reduction of Call Failures in a GSM Network System
Generally, most network providers especially in the developing countries are witnessing rapid influx of new users in their networks which affect the level of their quality of service (QoS). This research work is borne ou...