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Advances of Science and Technology. 8th EAI International Conference, ICAST 2020, Bahir Dar, Ethiopia, October 2-4, 2020, Proceedings, Part II

Research Article

Practical Implementation of Geo-location TVWS Database for Ethiopia

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  • @INPROCEEDINGS{10.1007/978-3-030-80618-7_34,
        author={Habib M. Hussien and Konstantinos Katzis and Luzango P. Mfupe and Ephrem T. Bekele},
        title={Practical Implementation of Geo-location TVWS Database for Ethiopia},
        proceedings={Advances of Science and Technology. 8th EAI International Conference, ICAST 2020, Bahir Dar, Ethiopia, October 2-4, 2020, Proceedings, Part II},
        proceedings_a={ICAST PART 2},
        year={2021},
        month={7},
        keywords={Calculation engine Cognitive radio Geolocation database HAAT Propagation model Secondary user TV white space},
        doi={10.1007/978-3-030-80618-7_34}
    }
    
  • Habib M. Hussien
    Konstantinos Katzis
    Luzango P. Mfupe
    Ephrem T. Bekele
    Year: 2021
    Practical Implementation of Geo-location TVWS Database for Ethiopia
    ICAST PART 2
    Springer
    DOI: 10.1007/978-3-030-80618-7_34
Habib M. Hussien1,*, Konstantinos Katzis2, Luzango P. Mfupe3, Ephrem T. Bekele1
  • 1: School of Electrical and Computer Engineering, Addis Ababa Institute of Technology (AAiT)
  • 2: Department of Computer Science and Engineering, School of Sciences
  • 3: CSIR Meraka Institute, Scientia Campus, Brummeria
*Contact email: habib.mohammed@aait.edu.et

Abstract

The beginning of TV white space (TVWS) for cognitive system is amongst the perceptible move towards solving the spectrum scarcity as well as rural connectivity problems. For the reason that this section of the spectrum band has higher bandwidth, good transmission characteristics and wide coverage. In this paper, we proposed a realistic implementation of the TVWS assignment simulation method focused on geo-location that solves the issue of spectrum under-utilization. The model is aided by the Calculation Engine of CSIR which is used in the radio frequency band of interest in Ethiopia to Intelligently quantify white spaces. More broadly, we aimed at the necessary input parameters, like radio propagation models suitable for the Ethiopian terrain environment, and calculation procedures to determine underutilized TVWSs. The models used by the Engine will approximate the contour coverage span of the incumbent TV station, separation distances for neighboring and co-channel locations, co-channel lists, as well as adjacent channels. In addition, using the planned implementation for the Ethiopia usage case; substantial amounts (87.9–98.23%) of geographically unoccupied broadcast TV channels are identified, such channels can be used for secondary provisioning of inexpensive broadband wireless networks.

Keywords
Calculation engine Cognitive radio Geolocation database HAAT Propagation model Secondary user TV white space
Published
2021-07-16
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-80618-7_34
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