DocumentCode :
163240
Title :
Distributed Mobile Femto-Databases for Cognitive Access to TV White Spaces
Author :
Bedogni, Luca ; Di Felice, Marco ; Trotta, Angelo ; Bononi, Luciano
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Bologna, Bologna, Italy
fYear :
2014
fDate :
14-17 Sept. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Nowadays several mobile applications connect to the internet through 2G/3G/LTE, which are becoming more crowded. Cognitive wireless networks have been proposed as a possible solution to supply additional bandwidth, and more recently TV White Spaces (TVWS) have been investigated as one candidate. TVWS devices should contact a remote spectrum database, which will reply with the channels available to use. It is not specified how devices should contact the remote spectrum database, so in this work we focus on the usage of a cellular connection, where however the number of the queries could rapidly grow and occupy considerable bandwidth. In this paper we present the idea of Femto-Databases, i.e. devices which act as distributed mobile databases able to satisfy the spectrum requests by opportunistic devices. Extensive simulations through the Omnet++ platform show that our approach can effectively reduce the load on the cellular infrastructure, and improve the latency of the query communication to the remote spectrum database.
Keywords :
3G mobile communication; Internet; cellular radio; cognitive radio; wireless channels; 2G-3G-LTE; Internet; Omnet++ platform; TV white spaces; cellular connection; cellular infrastructure; cognitive access; cognitive wireless networks; distributed mobile databases; distributed mobile femto-databases; mobile applications; opportunistic devices; query communication; remote spectrum database; Databases; Mobile communication; Performance evaluation; Protocols; TV; White spaces; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2014 IEEE 80th
Conference_Location :
Vancouver, BC
Type :
conf
DOI :
10.1109/VTCFall.2014.6965941
Filename :
6965941
Link To Document :
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