dc.contributor.author |
Lysko, Albert A
|
|
dc.contributor.author |
Masonta, Moshe T
|
|
dc.contributor.author |
Johnson, DL
|
|
dc.date.accessioned |
2015-03-12T09:38:48Z |
|
dc.date.available |
2015-03-12T09:38:48Z |
|
dc.date.issued |
2015 |
|
dc.identifier.citation |
Lysko, A.A., Johnson, D.L. and Masonta, M.T. 2015. The television white space opportunity in Southern Africa: from field measurements to quantifying white spaces. In: White Space Communication. Springer International Publishing: New York, USA, pp 75-116 |
en_US |
dc.identifier.isbn |
978-3-319-08746-7 |
|
dc.identifier.issn |
1860-4862 |
|
dc.identifier.uri |
http://link.springer.com/chapter/10.1007%2F978-3-319-08747-4_4
|
|
dc.identifier.uri |
http://hdl.handle.net/10204/7898
|
|
dc.description |
Copyright: Springer International Publishing: New York, USA |
en_US |
dc.description.abstract |
The lack of sufficient fixed-line communication infrastructure in African rural areas has resulted in wireless communication being the only cost effective alternative solution for broadband connectivity. However, access to valuable spectrum—specifically sub-1 GHz spectrum—is mostly allocated to broadcasting or mobile telephony. The global digital switch over (DSO) of television (TV) broadcasting systems will see more sub-1 GHz TV band spectrum being made available for the digital dividend and also result in more TV white space (TVWS) spectrum. In order to ensure dynamic and efficient utilization of the TV white space spectrum, there is an increasing trend to use cognitive radiosystems that use geo-location spectrum databases and spectrum sensing as an enabling technology. In this paper, we overview the relevant signals and standards and present field measurement results showing the actual usage of TV bands before the DSO in selected urban and rural areas of Southern Africa. Measurements were conducted using low-cost and high-grade radio instruments. The low-cost spectrum analyser was built in-house using the Universal Software Radio Peripheral (USRP-2) and GNU Radio software. A metric to quantify available TV white space, based on the minimum acceptable field strength, is introduced and applied to quantify the availability of TV white space. Our results show medium spectrum usage in urban areas and very low spectrum usage in rural areas, making TVWS an attractive solution for rural broadband connectivity. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Springer International Publishing |
en_US |
dc.relation.ispartofseries |
Workflow;13918 |
|
dc.subject |
African rural area communication infrastructure |
en_US |
dc.subject |
Digital switch over |
en_US |
dc.subject |
DSO |
en_US |
dc.subject |
Radio frequency |
en_US |
dc.subject |
Southern Africa |
en_US |
dc.subject |
Spectrum |
en_US |
dc.subject |
Television white spaces |
en_US |
dc.subject |
Universal Software Radio Peripheral |
en_US |
dc.subject |
USRP-2 |
en_US |
dc.title |
The television white space opportunity in Southern Africa: from field measurements to quantifying white spaces |
en_US |
dc.type |
Book Chapter |
en_US |
dc.identifier.apacitation |
Lysko, A. A., Masonta, M. T., & Johnson, D. (2015). The television white space opportunity in Southern Africa: From field measurements to quantifying white spaces., <i>Workflow;13918</i> Springer International Publishing. http://hdl.handle.net/10204/7898 |
en_ZA |
dc.identifier.chicagocitation |
Lysko, Albert A, Moshe T Masonta, and DL Johnson. "The television white space opportunity in Southern Africa: from field measurements to quantifying white spaces" In <i>WORKFLOW;13918</i>, n.p.: Springer International Publishing. 2015. http://hdl.handle.net/10204/7898. |
en_ZA |
dc.identifier.vancouvercitation |
Lysko AA, Masonta MT, Johnson D. The television white space opportunity in Southern Africa: from field measurements to quantifying white spaces.. Workflow;13918. [place unknown]: Springer International Publishing; 2015. [cited yyyy month dd]. http://hdl.handle.net/10204/7898. |
en_ZA |
dc.identifier.ris |
TY - Book Chapter
AU - Lysko, Albert A
AU - Masonta, Moshe T
AU - Johnson, DL
AB - The lack of sufficient fixed-line communication infrastructure in African rural areas has resulted in wireless communication being the only cost effective alternative solution for broadband connectivity. However, access to valuable spectrum—specifically sub-1 GHz spectrum—is mostly allocated to broadcasting or mobile telephony. The global digital switch over (DSO) of television (TV) broadcasting systems will see more sub-1 GHz TV band spectrum being made available for the digital dividend and also result in more TV white space (TVWS) spectrum. In order to ensure dynamic and efficient utilization of the TV white space spectrum, there is an increasing trend to use cognitive radiosystems that use geo-location spectrum databases and spectrum sensing as an enabling technology. In this paper, we overview the relevant signals and standards and present field measurement results showing the actual usage of TV bands before the DSO in selected urban and rural areas of Southern Africa. Measurements were conducted using low-cost and high-grade radio instruments. The low-cost spectrum analyser was built in-house using the Universal Software Radio Peripheral (USRP-2) and GNU Radio software. A metric to quantify available TV white space, based on the minimum acceptable field strength, is introduced and applied to quantify the availability of TV white space. Our results show medium spectrum usage in urban areas and very low spectrum usage in rural areas, making TVWS an attractive solution for rural broadband connectivity.
DA - 2015
DB - ResearchSpace
DP - CSIR
KW - African rural area communication infrastructure
KW - Digital switch over
KW - DSO
KW - Radio frequency
KW - Southern Africa
KW - Spectrum
KW - Television white spaces
KW - Universal Software Radio Peripheral
KW - USRP-2
LK - https://researchspace.csir.co.za
PY - 2015
SM - 978-3-319-08746-7
SM - 1860-4862
T1 - The television white space opportunity in Southern Africa: from field measurements to quantifying white spaces
TI - The television white space opportunity in Southern Africa: from field measurements to quantifying white spaces
UR - http://hdl.handle.net/10204/7898
ER -
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en_ZA |