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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10204/6307
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| Title: | TV White spaces for wireless broadband in rural areas: the regulator, broadcaster and telecommunication(s) operator viewpoint |
| Authors: | Mfupe, LP Mzyece, M Mekuria, F |
| Keywords: | Cognitive radio Dynamic spectrum access Spatial-temporal database Software defined radio Television white spaces TVWS |
| Issue Date: | May-2012 |
| Citation: | Mfupe, LP, Mzyece, M and Mekuria, F. TV White spaces for wireless broadband in rural areas: the regulator, broadcaster and telecommunication(s) operator viewpoint. IST Africa 2012, Dar es Salaam, Tanzania, 9-11 May 2012 |
| Series/Report no.: | Workflow;9804 Workflow;9803 |
| Abstract: | Television White Spaces (TVWS) coupled with Dynamic Spectrum Access and Cognitive Radio (DSA-CR) technologies are increasingly viewed as key enablers to the bridging of the digital divide in rural areas. However, in order to realize maximum benefits of TVWS, spectrum regulators need to implement reforms to their archaic static spectrum management approaches to allow dynamic spectrum sharing among different players. In this context, this paper investigates the emerging regulatory, standardization, and technological trends necessary to the exploitation of TVWS for the provisioning of wireless broadband in rural areas, particularly in the developing regions. In such scenarios, we show that the incumbent (in this case TV broadcaster) could be better protected from potential harmful interference of the secondary users through the use of regulator controlled spatial-temporal databases. Simultaneously, the delivery of low-cost service(s) to the end-user(s) could be achieved by the telecommunication operator through the use of bridged TVWS/Wi-Fi Access Points (APs). |
| Description: | IST Africa 2012, Dar es Salaam, Tanzania, 9-11 May 2012 |
| URI: | http://www.slideshare.net/bantugbrolu/luzango-mfupe-ist2012-africa-presentation http://hdl.handle.net/10204/6307 |
| Appears in Collections: | Internet of things Sensor science and technology Wireless technologies Rural infrastructure and services Mobile intelligent autonomous systems General science, engineering & technology
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