dc.contributor.author |
Mfupe, Luzango P
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|
dc.contributor.author |
Mekuria, Fisseha
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|
dc.contributor.author |
Mzyece, Mjumo
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|
dc.date.accessioned |
2018-03-02T10:08:51Z |
|
dc.date.available |
2018-03-02T10:08:51Z |
|
dc.date.issued |
2017-03 |
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dc.identifier.citation |
Mfupe, L.P., Mekuria, F. and Mzyece, M. 2017. Multi-criteria decision analysis of spectrum management frameworks for futuristic wireless networks: the context of developing countries. Mobile Information Systems, vol. 2017: doi.org/10.1155/2017/8610353 |
en_US |
dc.identifier.uri |
doi.org/10.1155/2017/8610353
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|
dc.identifier.uri |
https://www.hindawi.com/journals/misy/aip/8610353/
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|
dc.identifier.uri |
http://hdl.handle.net/10204/10072
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|
dc.description |
Open Access article, published in Mobile Information Systems: doi.org/10.1155/2017/8610353 |
en_US |
dc.description.abstract |
National regulatory authorities (NRAs) in developing countries need an accelerated means to formulate technical regulations for the telecommunications sector. This will enable countries to gain maximum benefits from the rapid advances in technology. The existing regulation-making processes are time consuming and do not cope with the emergence of global technological changes. This article presents an efficient and quicker approach to formulate regulatory framework to govern the wireless technologies that are based on the Dynamic spectrum access (DSA) technique. The approach utilises Multicriteria decision analysis (MCDA) tools. The article uses a case study to evaluate dominant Dynamic spectrum management (DSM) frameworks. Finally, a sustainable DSM framework that has potential to address the digital divide challenges in the context of developing countries is proposed. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Hindawi Publishing Corporation |
en_US |
dc.relation.ispartofseries |
Worklist;18677 |
|
dc.subject |
Dynamic spectrum sharing |
en_US |
dc.subject |
DSM |
en_US |
dc.subject |
Future wireless networks |
en_US |
dc.subject |
Spectrum management frameworks |
en_US |
dc.subject |
Multicriteria decision analysis |
en_US |
dc.title |
Multi-criteria decision analysis of spectrum management frameworks for futuristic wireless networks: the context of developing countries |
en_US |
dc.type |
Article |
en_US |
dc.identifier.apacitation |
Mfupe, L. P., Mekuria, F., & Mzyece, M. (2017). Multi-criteria decision analysis of spectrum management frameworks for futuristic wireless networks: the context of developing countries. http://hdl.handle.net/10204/10072 |
en_ZA |
dc.identifier.chicagocitation |
Mfupe, Luzango P, Fisseha Mekuria, and Mjumo Mzyece "Multi-criteria decision analysis of spectrum management frameworks for futuristic wireless networks: the context of developing countries." (2017) http://hdl.handle.net/10204/10072 |
en_ZA |
dc.identifier.vancouvercitation |
Mfupe LP, Mekuria F, Mzyece M. Multi-criteria decision analysis of spectrum management frameworks for futuristic wireless networks: the context of developing countries. 2017; http://hdl.handle.net/10204/10072. |
en_ZA |
dc.identifier.ris |
TY - Article
AU - Mfupe, Luzango P
AU - Mekuria, Fisseha
AU - Mzyece, Mjumo
AB - National regulatory authorities (NRAs) in developing countries need an accelerated means to formulate technical regulations for the telecommunications sector. This will enable countries to gain maximum benefits from the rapid advances in technology. The existing regulation-making processes are time consuming and do not cope with the emergence of global technological changes. This article presents an efficient and quicker approach to formulate regulatory framework to govern the wireless technologies that are based on the Dynamic spectrum access (DSA) technique. The approach utilises Multicriteria decision analysis (MCDA) tools. The article uses a case study to evaluate dominant Dynamic spectrum management (DSM) frameworks. Finally, a sustainable DSM framework that has potential to address the digital divide challenges in the context of developing countries is proposed.
DA - 2017-03
DB - ResearchSpace
DP - CSIR
KW - Dynamic spectrum sharing
KW - DSM
KW - Future wireless networks
KW - Spectrum management frameworks
KW - Multicriteria decision analysis
LK - https://researchspace.csir.co.za
PY - 2017
T1 - Multi-criteria decision analysis of spectrum management frameworks for futuristic wireless networks: the context of developing countries
TI - Multi-criteria decision analysis of spectrum management frameworks for futuristic wireless networks: the context of developing countries
UR - http://hdl.handle.net/10204/10072
ER -
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en_ZA |