Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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 (English)In: KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, ISSN 1976-7277, Vol. 8, no 11, p. 3810-3836Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
Korean Society for Internet Information (KSII) , 2014. Vol. 8, no 11, p. 3810-3836
Keywords [en]
Primary Users, Spectrum Database, GL-WSDB, WSD, TVWS
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
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
Available from: 2023-12-07 Created: 2023-12-07 Last updated: 2023-12-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Mekuria, Fisseha

Search in DiVA

By author/editor
Mfupe, LuzangoMekuria, FissehaMzyece, Mjumo
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 12 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf