NDLI: Biogeography-based optimization for joint relay assignment and power allocation in cognitive radio systems

Content Provider	IEEE Xplore Digital Library
Author	Ashrafinia, S. Pareek, U. Naeem, M. Lee, D.
Copyright Year	2011
Description	Author affiliation: School of Engineering Science, Simon Fraser University, Burnaby, BC V5A1S6, Canada (Ashrafinia, S.; Pareek, U.; Naeem, M.; Lee, D.)
Abstract	In this paper, we present a binary Biogeography-Based Optimization (BBO) algorithm-based low-complexity interference aware relay assignment scheme with power control for a cognitive radio network with one source node, multiple relays and multiple destination nodes. Optimally relay assignment using the Exhaustive Search Algorithm (ESA) has a high computational complexity that grows exponentially with the number of relays and users. We formulate the jointly relay assignment with source and relays' power allocation as a mixed integer non-linear programming problem which further reduces to an integer programming problem. We employ BBO as one of the novel Evolutionary Algorithms (EA) under the broad category of Swarm Intelligence and present a BBO-based relay assignment scheme with discrete power control at source and relays for the integer programming problem. We present a low-complex migration model for partial immigration-based BBO, and simulation results show that its performance is close to the optional ESA.
Starting Page	1
Ending Page	8
File Size	944338
Page Count	8
File Format	PDF
ISBN	9781612840536
e-ISBN	9781612840529
DOI	10.1109/SIS.2011.5952589
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-11
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	cooperative relay selection Receivers Interference evolutionary algorithms power allocation Cognitive radio Relays Particle swarm optimization Optimization cognitive radio Resource management biogeography-based optimization swarm intelligence
Content Type	Text
Resource Type	Article

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