DocumentCode :
3222570
Title :
An efficient relay assignment scheme for multiuser cognitive radio networks with discrete power control
Author :
Pareek, U. ; Naeem, M. ; Lee, D.C.
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
fYear :
2010
fDate :
11-13 Oct. 2010
Firstpage :
653
Lastpage :
660
Abstract :
In this paper, we present a binary particle swarm optimization (BPSO)-based low-complexity interference aware relay assignment scheme for multiple-user cognitive radio networks with discrete power control. We consider a network of cognitive radio nodes comprising single source, multiple relays and multiple destinations. For this system, we formulate an optimization problem to allocate power to source and relays and assign the relays to the destinations. The optimization problem is formulated as a mixed integer nonlinear program. Then, we show that the formulation can be reduced into a simpler integer programming problem. Then, we propose a BPSO-based relay assignment scheme to attain a good suboptimal solution to this integer programming problem. The proposed scheme has low computational complexity, and simulation results show that its performance is close to the optimal exhaustive search algorithm.
Keywords :
cognitive radio; integer programming; nonlinear programming; particle swarm optimisation; power electronics; binary particle swarm optimization; cognitive radio node; computational complexity; discrete power control; integer programming; interference aware relay assignment; mixed integer nonlinear program; multiple user cognitive radio network; multiuser cognitive radio network; optimal exhaustive search algorithm; relay assignment scheme; Cognitive radio; Interference; Optimization; Power control; Receivers; Relays; Resource management; cognitive radio; cooperative relay selection; power allocation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Mobile Computing, Networking and Communications (WiMob), 2010 IEEE 6th International Conference on
Conference_Location :
Niagara Falls, ON
Print_ISBN :
978-1-4244-7743-2
Electronic_ISBN :
978-1-4244-7741-8
Type :
conf
DOI :
10.1109/WIMOB.2010.5644849
Filename :
5644849
Link To Document :
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