A Generalized Regression Neural Network Approach to Wireless Signal Strength Prediction

Deme C. Abraham; Gurumdimma Y. Nentawe; Finangwai D. Jacob

Title:
A Generalized Regression Neural Network Approach to Wireless Signal Strength Prediction

Authors:
Finangwai D. Jacob | Deme C. Abraham | Gurumdimma Y. Nentawe

Cite This Article :

Finangwai D. Jacob | Deme C. Abraham | Gurumdimma Y. Nentawe "A Generalized Regression Neural Network Approach to Wireless Signal Strength Prediction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3, April 2020, pp.467-471, URL: https://www.ijtsrd.com/papers/ijtsrd30501.pdf

Download

Abstract :
This study presents a Generalized Regression Neural network (GRNN) based approach to wireless communication network field strength prediction. As case study, the rural area between the cities of Bauchi and Gombe, Nigeria, was considered. The GRNN based predictor was created, validated and tested with field strength data recorded from multiple Base Transceiver Stations at a frequency of 1800MHz. Results indicate that the GRNN based model with Root Mean Squared Error (RMSE) value of 5.8dBm offers significant improvements over the empirical Okumura and COST 231 Hata models. While the Okumura model overestimates the field strength, the COST 231 Hata significantly underestimates it.

Keywords :
Field Strength; Generalized Regression Neural Network; Okumura Model, COST 231 Hata Model

Publication Details:

Unique Identification Number : IJTSRD30501

Published In : Volume-4 | Issue-3, April 2020

Page Number(s) : 467-471

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

About IJTSRD
Indexing

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.