Title :
Estimation of Distribution Algorithm for green resource allocation in cognitive radio systems
Author :
Naeem, M. ; Ashrafinia, S. ; Lee, Daewoo
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
Abstract :
In this paper, we formulate a resource allocation optimization problem for a cooperative relay-assisted cognitive radio system, comprising a single source node, multiple relays and multiple destinations. Our formulation takes into account the effects of the resource allocation on CO2 emission, and we refer to it as a green resource allocation problem. The green resource allocation problem is formulated as a non-linear multi-objective optimization problem. We modify the objective function by applying the weighted sum method, which results in a non-convex mixed integer non-linear programming problem. We propose a hybrid evolutionary scheme that utilizes an enhanced version of Estimation of Distributions Algorithm to solve this optimization problem. Simulation results demonstrate the efficiency of our evolutionary algorithm approach in comparison to other schemes such as GA and EDA.
Keywords :
air pollution; cognitive radio; concave programming; cooperative communication; evolutionary computation; integer programming; nonlinear programming; relay networks (telecommunication); resource allocation; CO2; EDA; GA; cooperative relay-assisted cognitive radio system; emission; estimation of distributions algorithm; evolutionary algorithm; green resource allocation problem; hybrid evolutionary scheme; multiple destinations; multiple relays; nonconvex mixed integer nonlinear programming problem; nonlinear multiobjective optimization problem; resource allocation optimization problem; source node; weighted sum method; cognitive radio; evolutionary algorithms; green communications; multi objective optimization; resource allocation;
Conference_Titel :
Signal Processing and Communication Systems (ICSPCS), 2012 6th International Conference on
Conference_Location :
Gold Coast, QLD
Print_ISBN :
978-1-4673-2392-5
Electronic_ISBN :
978-1-4673-2391-8
DOI :
10.1109/ICSPCS.2012.6507995