DocumentCode :
1973688
Title :
Game theory based resource allocation for cognitive radio networks
Author :
El Ferkouss, O. ; Ajib, Wessam
Author_Institution :
Univ. du Quebec a Montreal (UQAM), Montréal, QC, Canada
fYear :
2012
fDate :
3-7 Dec. 2012
Firstpage :
1174
Lastpage :
1179
Abstract :
In this paper we develop an optimal solution for resource allocation between secondary users in a cognitive radio network (CRN). We assume a CRN that contains a set of primary users (PUs) coexisting with secondary users (SUs) in an underlay spectrum sharing paradigm. PUs use licensed bands of the spectrum while SUs try either to use unoccupied bands or coexist with PUs in the same band without harmfully affecting primary transmissions. We propose an algorithm based on the VCG (Vickrey-Clarke-Groves) model in a non cooperative game for spectrum allocation between secondary transmissions that guarantee a required minimum data rate for both PUs and SUs, assuming a fixed value of the bit error rate. It aims to find the optimal and fair assignment of secondary transmissions to spectrum bands that maximizes their sum data rate. Simulation results show that the proposed solution maximizes the sum data rate depending on the transmit power of primary transmissions and the data rate required for secondary transmissions. Using Jain´s fairness index, we also show that our proposition is almost 98% fair.
Keywords :
cognitive radio; error statistics; game theory; radio spectrum management; radiofrequency power transmission; resource allocation; CRN; Jain fairness index; PU; SU; VCG model; Vickrey-Clarke-Groves model; bit error rate; cognitive radio networks; cooperative game; game theory-based resource allocation; licensed bands; primary transmissions; primary users; secondary users; spectrum allocation; sum data rate; underlay spectrum sharing paradigm; unoccupied bands;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2012 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1930-529X
Print_ISBN :
978-1-4673-0920-2
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2012.6503272
Filename :
6503272
Link To Document :
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