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Geo-location White Space Spectrum Databases: Models and Design of South Africa's First Dynamic Spectrum Access Coexistence Manager
CSIR, Meraka Inst, ZA-0001 Pretoria, South Africa.;Tshwane Univ Technol TUT, Dept Elect Engn, ZA-0001 Pretoria, South Africa..ORCID-id: 0000-0002-5762-2287
CSIR, Meraka Inst, ZA-0001 Pretoria, South Africa..ORCID-id: 0009-0006-6443-4483
Tshwane Univ Technol TUT, Dept Elect Engn, ZA-0001 Pretoria, South Africa..ORCID-id: 0000-0002-7298-6206
2014 (engelsk)Inngår i: KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, ISSN 1976-7277, Vol. 8, nr 11, s. 3810-3836Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Geo-location white space spectrum databases (GL-WSDBs) are currently the preferred technique for enabling spectrum sharing between primary users and secondary users or white space devices (WSDs) in the very-high frequency (VHF) and ultra-high frequency (UHF) bands. This is true because technologies for making low-cost WSDs capable of autonomous sensing and detection of available white space (WS) spectrum are not yet feasible. This paper reviews the necessary enabling technical conditions to allow coexistence of primary and secondary systems in the VHF and UHF spectrum through a GL-WSDB approach. The practical implementation of South Africa's first GL-WSDB was performed. Results of WS channels available from five cities in South Africa calculated from the implemented GL-WSDB was compared with a commercially available GL-WSDB and was found to be 68% similar. Additionally, results from the implemented GL-WSDB were compared with measurements obtained from field spectrum scanning campaigns at two different locations in Cape Town, South Africa, and was found to be 64% similar.

sted, utgiver, år, opplag, sider
Korean Society for Internet Information (KSII) , 2014. Vol. 8, nr 11, s. 3810-3836
Emneord [en]
Primary Users, Spectrum Database, GL-WSDB, WSD, TVWS
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-64133DOI: 10.3837/tiis.2014.11.009ISI: 000348047900010Scopus ID: 2-s2.0-84915756217OAI: oai:DiVA.org:mau-64133DiVA, id: diva2:1817699
Tilgjengelig fra: 2023-12-07 Laget: 2023-12-07 Sist oppdatert: 2023-12-07bibliografisk kontrollert

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