DocumentCode :
2609432
Title :
An Auction Approach to Resource Allocation in OFDM-Based Cognitive Radio Networks
Author :
Cao, Lihong ; Xu, Wenjun ; Lin, Jiaru ; Niu, Kai ; He, Zhiqiang
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2012
fDate :
6-9 May 2012
Firstpage :
1
Lastpage :
5
Abstract :
We study a repeated auction for the resource allocation problem in OFDM-based cognitive radio networks (CRNs), in which secondary users (SUs) share the primary spectrum under the interference constraints of primary users (PUs). With the inter-cell interference and mutual interference between PUs and SUs, the resource allocation problem is formulated as a non-convex optimization problem. Auction performs well in solving non-convex problems, therefore the interference auction with cooperative bidding is proposed. Moreover, with the theoretical analysis of equilibrium, an implementation algorithm for the auction is developed and the convergence is proved. Simulation results show that the interference auction obtains a good spectrum efficiency improvement and a rapid convergence rate.
Keywords :
OFDM modulation; cognitive radio; commerce; convergence; convex programming; radio spectrum management; radiofrequency interference; resource allocation; CRN; OFDM-based cognitive radio networks; PU; SU; auction approach; convergence rate; cooperative bidding; intercell interference; interference auction; interference constraints; nonconvex optimization problem; primary spectrum; primary users; resource allocation; secondary users; Cognitive radio; Convergence; Interference; OFDM; Resource management; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th
Conference_Location :
Yokohama
ISSN :
1550-2252
Print_ISBN :
978-1-4673-0989-9
Electronic_ISBN :
1550-2252
Type :
conf
DOI :
10.1109/VETECS.2012.6239963
Filename :
6239963
Link To Document :
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