CHARACTERIZATION AND QUANTIFICATION OF TELEVISION WHITE SPACE DATASET

Citation Author(s):
Michael Naejii
Etta
Covenant University
Aderemi
Atayero
Covenant University
Simon Karanja
Hinga
Covenant University
Kebiru
Abu
Nnamdi Azikiwe University
Submitted by:
Michael Etta
Last updated:
Fri, 08/28/2020 - 12:54
DOI:
10.21227/x4d9-yg08
Data Format:
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Abstract 

A practical alternative to the solution of the spectrum scarcity problem in wireless communication is the use of Cognitive Radio. The Primary users of which can be protected from secondary user interference by accurate prediction of TV White Spaces (TVWS) by using appropriate propagation modelling. In implementing any mobile communication system, the essential chore is to envisage the coverage of the projected system in a wide range. Also, the accurate determination of the propagation path loss leads to the development of efficient design and operation of quality networks. Many such dissimilar approaches have been developed, over time, to predict network coverage using what we know as propagation models. This data article presents a measurement-based path loss model, from experimental data collected in Calabar urban, South-South Nigeria. Received Signal Strength (RSS) measurements were gotten in Calabar from Cross River Broadcasting Corporation (CRBC) operating at 519.25MHz (Nigeria). Variations in path loss between the measured and the predicted values from theOkumura-Hata model were calculated by finding the mean square errors (MSE). A comprehensive quantitative estimation of TVWS is done. The data is analysed and presented in tables, graphs, and figures

Instructions: 

Hardware tools used for drive test include:

1.Spectrum Analyzer (RF Explorer 3G combo model) 

2.Personal Computer (HP Laptop) 

3.Global Positioning System (GPS) receiver set

4.Mini-USB Cable 

5.Compass 

6.Power Inverter 

7.vehicle for mobility purposes. 

 

The software tool used was the Touchstone-Pro software.