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Practical implementation of geo-location TVWS database for Ethiopia

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dc.contributor.author Hussien, HM
dc.contributor.author Katzis, K
dc.contributor.author Mfupe, Luzango P
dc.contributor.author Bekele, ET
dc.date.accessioned 2020-07-20T07:18:09Z
dc.date.available 2020-07-20T07:18:09Z
dc.date.issued 2019-08
dc.identifier.citation Hussien, 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 2019 en_US
dc.identifier.isbn 978-3-030-43690-2
dc.identifier.uri https://www.springer.com/gp/book/9783030436896
dc.identifier.uri http://hdl.handle.net/10204/11500
dc.description Presented 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. en_US
dc.description.abstract 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. en_US
dc.language.iso en en_US
dc.publisher Springer Nature en_US
dc.relation.ispartofseries Workflow;23114
dc.subject Calculation Engine en_US
dc.subject Cognitive Radio en_US
dc.subject Geolocation databases en_US
dc.subject HAAT en_US
dc.subject Propagation models en_US
dc.subject Secondary users en_US
dc.subject TV white spaces en_US
dc.title Practical implementation of geo-location TVWS database for Ethiopia en_US
dc.type Conference Presentation en_US
dc.identifier.apacitation Hussien, H., Katzis, K., Mfupe, L. P., & Bekele, E. (2019). Practical implementation of geo-location TVWS database for Ethiopia. Springer Nature. http://hdl.handle.net/10204/11500 en_ZA
dc.identifier.chicagocitation Hussien, HM, K Katzis, Luzango P Mfupe, and ET Bekele. "Practical implementation of geo-location TVWS database for Ethiopia." (2019): http://hdl.handle.net/10204/11500 en_ZA
dc.identifier.vancouvercitation Hussien 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 . en_ZA
dc.identifier.ris 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 - en_ZA


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