International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 185 - Number 44 |
Year of Publication: 2023 |
Authors: Matthew K. Luka, Okpo U. Okereke, Ejike C. Anene, Elijah E. Omizegba |
10.5120/ijca2023923253 |
Matthew K. Luka, Okpo U. Okereke, Ejike C. Anene, Elijah E. Omizegba . A Geo-location Database Framework for Television White Space Administration in Nigeria. International Journal of Computer Applications. 185, 44 ( Nov 2023), 14-20. DOI=10.5120/ijca2023923253
Terrestrial television channels in the ultra-high frequency (UHF) band that are vacant or unassigned in a given geographical location are known as television whitespaces (TVWS). These vacant channels can be accessed on an opportunistic basis by several wireless network technologies such as IEEE 802.22 and IEEE 802.11af to provide last-mile internet access. However opportunistic spectrum access can cause harmful electromagnetic interference to the primary broadcasting services. TVWS whitespace geo-location databases are used to provide a list of available channels to the secondary wireless networks to prevent interferences with the primary users. This is accomplished using appropriate path loss prediction models otherwise known as propagation models. Path loss models are also used to determine the protection contour of television broadcast transmitters. In this study, we created a geolocation database for TV White Spaces (TVWS) usage within the 470 – 694 MHz frequency range, as approved by the Nigerian Communications Commission for deployment in Nigeria. The database was developed as a comprehensive web application, employing an SQLite database engine and a Python-based computation engine integrated into the Flask development framework. The application's front end encompasses administrative functionalities to register television stations for protection and a client interface enabling queries to retrieve TVWS channel information. For the computation engine, we utilized the Okumura-Hata path loss model. Through this database, we determined the availability of TVWS channels in the 21 local government areas of Adamawa State and the 20 local government areas of Bauchi State. Our findings were validated by conducting spectrum scans using a software-defined radio (RTL-SDR) device configured as a spectrum analyzer.