Theoretical Computer Science - Natural computing
Utilization and fairness in spectrum assignment for opportunistic spectrum access
Mobile Networks and Applications
Auction-based spectrum sharing
Mobile Networks and Applications
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
A Quantum-Inspired Evolutionary Algorithm Based on P systems for Knapsack Problem
Fundamenta Informaticae
Cognitive radio spectrum allocation using evolutionary algorithms
IEEE Transactions on Wireless Communications
Quantum Particle Swarm Optimization for MC-CDMA Multiuser Detection
AICI '09 Proceedings of the 2009 International Conference on Artificial Intelligence and Computational Intelligence - Volume 02
Hybrid particle swarm optimization algorithm with fine tuning operators
International Journal of Bio-Inspired Computation
Tackling magnetoencephalography with particle swarm optimization
International Journal of Bio-Inspired Computation
Particle swarm optimisation algorithm with forgetting character
International Journal of Bio-Inspired Computation
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
A simple quantum-inspired bee colony algorithm for discrete optimisation problems
International Journal of Computer Applications in Technology
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To design a novel intelligence algorithm for spectrum allocation problem, a membrane quantum particle swarm optimisation (MQPSO) is proposed. The proposed MQPSO algorithm applies the theory of membrane computing to quantum particle swarm optimisation (QPSO), which is an effective discrete optimisation algorithm. Then the proposed MQPSO algorithm is used to solve spectrum allocation problems of cognitive radio system. By hybridising the QPSO and membrane theory, the quantum state and measure state of the quantum particle can be well evolved in membrane structure. The new spectrum allocation algorithm can search global optimal solution. Simulation results for cognitive radio system are provided to show that the designed spectrum allocation method is superior to some previous spectrum allocation algorithms.