Dynamic Geospatial Spectrum Modelling: Taxonomy, Options and Consequences

25 Pages Posted: 19 Jan 2012 Last revised: 13 Mar 2012

See all articles by Martin B. H. Weiss

Martin B. H. Weiss

University of Pittsburgh - School of Computing and Information

Mohammed Altamimi

University of Pittsburgh

Liu Cui

affiliation not provided to SSRN

Date Written: August 15, 2010

Abstract

Much of the research in Dynamic Spectrum Access (DSA) has focused on opportunistic access in the temporal domain. While this has been quite useful in establishing the technical feasibility of DSA systems, it has missed large sections of the overall DSA problem space. In this paper, we argue that the spatio-temporal operating context of specific environments matters to the selection of the appropriate technology for learning context information. We identify twelve potential operating environments and compare four context awareness approaches (on-board sensing, databases, sensor networks, and cooperative sharing) for these environments. Since our point of view is overall system cost and efficiency, this analysis has utility for those regulators whose objectives are reducing system costs and enhancing system efficiency. We conclude that regulators should pay attention to the operating environment of DSA systems when determining which approaches to context learning to encourage.

Suggested Citation

Weiss, Martin B. H. and Altamimi, Mohammed and Cui, Liu, Dynamic Geospatial Spectrum Modelling: Taxonomy, Options and Consequences (August 15, 2010). TPRC 2010 , Available at SSRN: https://ssrn.com/abstract=1988186

Martin B. H. Weiss (Contact Author)

University of Pittsburgh - School of Computing and Information ( email )

135 N Bellefield Ave
Pittsburgh, PA 15260
United States

Mohammed Altamimi

University of Pittsburgh ( email )

135 N Bellefield Ave
Pittsburgh, PA 15260
United States

Liu Cui

affiliation not provided to SSRN ( email )

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