摘要
To solve discrete optimization difficulty of the spectrum allocation problem,a membrane-inspired quantum shuffled frog leaping（MQSFL） algorithm is proposed.The proposed MQSFL algorithm applies the theory of membrane computing and quantum computing to the shuffled frog leaping algorithm,which is an effective discrete optimization algorithm.Then the proposed MQSFL algorithm is used to solve the spectrum allocation problem of cognitive radio systems.By hybridizing the quantum frog colony optimization and membrane computing,the quantum state and observation state of the quantum frogs can be well evolved within the membrane structure.The novel spectrum allocation algorithm can search the global optimal solution within a reasonable computation time.Simulation results for three utility functions of a cognitive radio system are provided to show that the MQSFL spectrum allocation method is superior to some previous spectrum allocation algorithms based on intelligence computing.
To solve discrete optimization difficulty of the spectrum allocation problem,a membrane-inspired quantum shuffled frog leaping（MQSFL） algorithm is proposed.The proposed MQSFL algorithm applies the theory of membrane computing and quantum computing to the shuffled frog leaping algorithm,which is an effective discrete optimization algorithm.Then the proposed MQSFL algorithm is used to solve the spectrum allocation problem of cognitive radio systems.By hybridizing the quantum frog colony optimization and membrane computing,the quantum state and observation state of the quantum frogs can be well evolved within the membrane structure.The novel spectrum allocation algorithm can search the global optimal solution within a reasonable computation time.Simulation results for three utility functions of a cognitive radio system are provided to show that the MQSFL spectrum allocation method is superior to some previous spectrum allocation algorithms based on intelligence computing.
基金
supported by the National Natural Science Foundation of China (61102106,61102105)
the Fundamental Research Funds for the Central Universities (HEUCF100801,HEUCFZ1129)
作者简介
Corresponding author.Hongyuan Gao was born in 1977. He received the Ph.D. degree in Harbin Engineering University in 2011. He is currently a lecturer in the College of Information and Communication Engineering at Harbin Engineering University. His current research interests include intelligence computing, signal processing of radar, and communication theory. E-mail： gaohongyuan @ hrbeu.edu.cnJinlong Cao was born in 1987. He is a student of communication and information systems. He is currently studying in the College of Information and Communication Engineering at Beijing University of Posts and Telecommunications, China. His current research interests include swarm computing, cognitive radio theory and signal processing. E-mall： lansebolang2008@ 183.com
