Systematic Analysis of Geo-Location and Spectrum Sensing as Access Methods to TV White Space

Authors

  • Hope Mauwa University of the Western Cape, ISAT Lab, Dept. of CS, Bellville, South Africa
  • Antoine Bagula University of the Western Cape, ISAT Lab, Dept. of CS, Bellville, South Africa
  • Marco Zennaro International Centre for Theoretical Physics, ICT4D Laboratory, Trieste, Italy
  • Ermanno Pietrosemoli International Centre for Theoretical Physics, ICT4D Laboratory, Trieste, Italy
  • Albert Lysko Meraka Institute, Council for Scientific and Industrial Research, Pretoria, South Africa
  • Timothy X. Brown Carnegie Mellon University, Department of Engineering and Public Policy, Kigali, Rwanda

DOI:

https://doi.org/10.13052/jicts2245-800X.423

Keywords:

Geo-location database, spectrum sensing, performance factors, best approach

Abstract

Access to the television white space by white space devices comes with a major technical challenge: white space devices can interfere with existing television signals. Two methods have been suggested in the literature to help white space devices identify unused channels in theTVfrequency band so that they can avoid causing harmful interference to primary users; geo-location spectrum database and spectrum sensing. Discussions in the literature have placed much emphasis on the limitations of the spectrum sensing approach mainly from the perspective of the developed world environment in which its drawbacks are significant. Little attention has been placed to the limitations of the geo-location database approach when applied in a developing regions. This paper considers a broader analysis of the approaches by looking at factors that can affect their performance and how the presence or absence of these factors in a developed region or developing region can affect their applicability. In so doing, the paper highlights the need to conduct more research on the performance of spectrum sensing in developing regions where there are much less TV broadcasting stations and therefore, white spaces are more abundant.

 

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Author Biographies

Hope Mauwa, University of the Western Cape, ISAT Lab, Dept. of CS, Bellville, South Africa

H. Mauwa received his M.Sc. degree in Information Technology in 2007 from Nelson Mandela Metropolitan University (NMMU) in South Africa and is presently studying towards his Ph.D. in Computer Science at the University of the Western Cape (UWC) also in South Africa. His Ph.D. research focuses on methods for accessing TV white spaces in developing countries.

Antoine Bagula, University of the Western Cape, ISAT Lab, Dept. of CS, Bellville, South Africa

A. Bagula obtained his doctoral degree in 2006 from the KTH-Royal Institute of Technology in Sweden. He held lecturing positions at Stellenbosch University (SUN) and the University of Cape Town (UCT) before joining the Computer Science department at the University of the Western Cape in January 2014. Since 2006, He has been a consultant of UNESCO, the World Bank and other international organizations on different telecommunication projects. His research interest lies on the Internet-of-Things, Big Data and Cloud Computing, Network security and Network protocols for wireless, wired and hybrid networks.

Marco Zennaro, International Centre for Theoretical Physics, ICT4D Laboratory, Trieste, Italy

M. Zennaro received his M.Sc. degree in Electronic Engineering from University of Trieste in Italy. He defended his Ph.D. thesis on Wireless Sensor Networks for Development: Potentials and Open Issues at KTH-Royal Institute of Technology, Stockholm, Sweden. His research interest is in ICT4D, the use of ICT for development. In particular, he is interested in Wireless Networks and in Wireless Sensor Networks in developing countries. He has been giving lectures on Wireless technologies in more than 20 countries.

Ermanno Pietrosemoli, International Centre for Theoretical Physics, ICT4D Laboratory, Trieste, Italy

E. Pietrosemoli is a researcher at the Telecommunications and ICT for Development Lab of the International Centre for Theoretical Physics in Trieste, Italy, and president of Escuela Latinoamericana de Redes. He holds an MSc. degree in Electrical Engineering from Stanford University. After teaching telecommunications for 30 years at Universidad de los Andes in Venezuela, he is currently focused on means to provide low cost long distance wireless data communications.

Albert Lysko, Meraka Institute, Council for Scientific and Industrial Research, Pretoria, South Africa

A. Lysko has a Ph.D. in Information and Communication Technologies (ICT) from the Norwegian University of Science and Technology (NTNU), Norway. He has worked in industry and at universities, and is presently a Principal Researcher with the Council for Scientific and Industrial Research (CSIR). Dr. Lysko has 2 patents and several patent applications, published over 50 research papers and popular articles as well as a book and 2 book chapters.

Timothy X. Brown, Carnegie Mellon University, Department of Engineering and Public Policy, Kigali, Rwanda

T. X. Brown is a Professor in Electrical, Computer, and Energy Engineering and served as Director of the Interdisciplinary Telecommunications Program at the University of Colorado, Boulder. He received his B.S. in physics from Pennsylvania State University and his Ph.D. in electrical engineering from California Institute of Technology in 1990. His research interests include adaptive network control, machine learning, and wireless communication systems.

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Published

2017-03-10

How to Cite

Mauwa, H. ., Bagula, A. ., Zennaro, M. ., Pietrosemoli, E. ., Lysko, A., & Brown, T. X. . (2017). Systematic Analysis of Geo-Location and Spectrum Sensing as Access Methods to TV White Space. Journal of ICT Standardization, 4(2), 147–176. https://doi.org/10.13052/jicts2245-800X.423

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