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| A Novel Cognitive Radio Decision Engine Based on Chaotic Quantum Bee Colony Algorithm |
| Xiaojian You, Xiaohai He, Xuemei Han, Chun Wu, Hong Jiang |
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Abstract To improve the adaptive parameter adjustment function of the
cognitive radio, a novel cognitive radio decision engine based on
chaotic quantum bee colony optimized algorithm is proposed. First,
the population was initialized by quantum coding and logistic
mapping. Then, fast quantum rotation angle adjusting strategy, based
on social cognitive, was used to conduct the neighborhood search of
employed bees and onlooker bees. Finally, the new solution was
generated by chaotic disturbing the solution that has reached the
limit times of cycles. According to the simulated experiments under
a multi-carrier system, the results indicate that the novel engine
show a much better convergence and efficiency than the one based on
quantum genetic algorithm or binary artificial bee colony algorithm,
and the results of parameters reconfiguration is consistent with
user demands.
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| DOI:10.12733/jics20105768 |
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