Hussien, HMKatzis, KMfupe, Luzango PBekele, ET2020-07-202020-07-202019-08Hussien, H.M., Katzis, K., Mfupe, L.P. & Bekele, E.T. 2019. Practical implementation of geo-location TVWS database for Ethiopia. In: ICAST 2019 - 7th EAI International Conference on Advancements of Science and Technology, At Bahir Dar, Ethiopia, August 2019978-3-030-43690-2https://www.springer.com/gp/book/9783030436896http://hdl.handle.net/10204/11500Presented in: ICAST 2019 - 7th EAI International Conference on Advancements of Science and Technology, At Bahir Dar, Ethiopia, 2-4 August 2019. This is the pre-print version of the published item.The opening of Television White Spaces for cognitive access is one of the first tangible steps towards solving the spectrum scarcity as well as rural connectivity problems. Because this part of the spectrum band offers better bandwidth, good propagation characteristics such as building penetration and large coverage. In this paper, we have discussed a practical implementation of geo-location-based TVWS assignment modelling approach that solves the spectrum under-utilisation problem. The model is based on the CSIR Geo-location Spectrum Database Calculation Engine that is used to intelligently, identify White Spaces in the radio frequency band of interest in Ethiopia. More broadly, we have looked on the necessary input parameters including radio propagation models fit for the Ethiopian terrain environment and calculation steps for quantifying TV White Space availability. The models used by the Calculation Engine used are able to predict the incumbent TV transmitter contour coverage distances, adjacent and co-channel protection distances, list of occupied channels on the co-channel and adjacent channel basis. Moreover, using the proposed implementation for the Ethiopia use case; considerable amount (87.9% - 98.23%) of broadcast TV channels are found to be unoccupied geographically, such channels can be used for secondary provisioning of affordable wireless broadband networks.enCalculation EngineCognitive RadioGeolocation databasesHAATPropagation modelsSecondary usersTV white spacesConference PresentationHussien, H., Katzis, K., Mfupe, L. P., & Bekele, E. (2019). Practical implementation of geo-location TVWS database for Ethiopia. Springer Nature. http://hdl.handle.net/10204/11500Hussien, HM, K Katzis, Luzango P Mfupe, and ET Bekele. "Practical implementation of geo-location TVWS database for Ethiopia." (2019): http://hdl.handle.net/10204/11500Hussien H, Katzis K, Mfupe LP, Bekele E, Practical implementation of geo-location TVWS database for Ethiopia; Springer Nature; 2019. http://hdl.handle.net/10204/11500 .TY - Conference Presentation AU - Hussien, HM AU - Katzis, K AU - Mfupe, Luzango P AU - Bekele, ET AB - The opening of Television White Spaces for cognitive access is one of the first tangible steps towards solving the spectrum scarcity as well as rural connectivity problems. Because this part of the spectrum band offers better bandwidth, good propagation characteristics such as building penetration and large coverage. In this paper, we have discussed a practical implementation of geo-location-based TVWS assignment modelling approach that solves the spectrum under-utilisation problem. The model is based on the CSIR Geo-location Spectrum Database Calculation Engine that is used to intelligently, identify White Spaces in the radio frequency band of interest in Ethiopia. More broadly, we have looked on the necessary input parameters including radio propagation models fit for the Ethiopian terrain environment and calculation steps for quantifying TV White Space availability. The models used by the Calculation Engine used are able to predict the incumbent TV transmitter contour coverage distances, adjacent and co-channel protection distances, list of occupied channels on the co-channel and adjacent channel basis. Moreover, using the proposed implementation for the Ethiopia use case; considerable amount (87.9% - 98.23%) of broadcast TV channels are found to be unoccupied geographically, such channels can be used for secondary provisioning of affordable wireless broadband networks. DA - 2019-08 DB - ResearchSpace DP - CSIR KW - Calculation Engine KW - Cognitive Radio KW - Geolocation databases KW - HAAT KW - Propagation models KW - Secondary users KW - TV white spaces LK - https://researchspace.csir.co.za PY - 2019 SM - 978-3-030-43690-2 T1 - Practical implementation of geo-location TVWS database for Ethiopia TI - Practical implementation of geo-location TVWS database for Ethiopia UR - http://hdl.handle.net/10204/11500 ER -