DocumentCode
1595920
Title
Design of spectrum database assisted cognitive radio vehicular networks
Author
Doost-Mohammady, Rahman ; Chowdhury, Kaushik R.
Author_Institution
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
fYear
2012
Firstpage
1
Lastpage
5
Abstract
Recent FCC rulings in the US, mandating spectrum databases for white spaces unlicensed access, raise interesting challenges on the placement of road-side base stations (BS) connected to spectrum databases distributing spectrum knowledge to cognitive radios embedded in passing by vehicles. This paper takes the first step towards developing an analytical framework for determining the topology of such a vehicular network, where the network components are the spectrum database, multiple BSs and moving vehicles in different traffic conditions. Our framework not only adheres to the FCC specifications, but it also provides a cost-revenue analysis given the environmental parameters such as vehicular density, BS road coverage and the tradeoffs between local vs. database assisted sensing, thereby making this a potential tool for future network design. A comprehensive simulation study is undertaken using real traffic traces to show the application and benefit of our method in a practical setting.
Keywords
cognitive radio; mobile radio; query processing; telecommunication computing; telecommunication network topology; BS road coverage; FCC rulings; FCC specifications; US; cost-revenue analysis; database-assisted sensing; local-assisted sensing; network components; road-side BS placement; road-side base station placement; spectrum database-assisted cognitive radio vehicular networks; spectrum knowledge; traffic traces; vehicular density; vehicular network topology; white space-unlicensed access; Databases; FCC; Geology; Internet; Roads; Sensors; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), 2012 7th International ICST Conference on
Conference_Location
Stockholm
ISSN
2166-5370
Print_ISBN
978-1-4673-2976-7
Electronic_ISBN
2166-5370
Type
conf
Filename
6481103
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