Ant Colony Optimization
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Generic architecture and mechanisms for protocol reconfiguration
Mobile Networks and Applications
Nonlinear Geophysical Inversion Based on ACO with Hybrid Techniques
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 04
Cognitive network access using fuzzy decision making
IEEE Transactions on Wireless Communications
Ant colony optimization algorithm with mutation mechanism and its applications
Expert Systems with Applications: An International Journal
Improved ant routing algorithm in cognitive radio networks
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Population Declining Ant Colony Optimization Multiuser Detection in Asynchronous CDMA Communications
Wireless Personal Communications: An International Journal
A Statistical Method for Reconfiguration of Cognitive Radios
IEEE Wireless Communications
Downlink Channel Assignment and Power Control for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
Cognitive networks: adaptation and learning to achieve end-to-end performance objectives
IEEE Communications Magazine
Enhanced estimation of configuration capabilities in cognitive radio
IEEE Communications Magazine
Cognitive Radio Engine Design Based on Ant Colony Optimization
Wireless Personal Communications: An International Journal
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Facing to the challenges of dynamic adaptation capabilities in the time-varying environment of cognitive radio networks (CRN), reconfiguration capabilities are introduced to flexibly and dynamically adapt to changing wireless environment and service requirement. As one of the essential characteristics for CRN, the cognitive reconfiguration can meet the user requirements, realize interoperability between heterogeneous networks, make full use of radio resources and adapt to the time-varying environment to achieve the end-to-end requirements. However, the reconfiguration implementation is still challenging due to its need for complex environment cognition and multi-objects optimization. In this direction, ant colony optimization(ACO) technique, as an intelligent technology to solve the complex issues, is introduced to the appropriate model of the reconfiguration decision making process to achieve the adaption alternatives. The aim of this paper is to present a generic cognitive reconfiguration framework including indispensable function entities for autonomous reconfiguration decision making with regard to the multiple and complex objectives. Moreover, three kinds of reconfiguration approaches, which are parameters reconfiguration, radio resource reconfiguration and heterogeneous access reconfiguration, are proposed. Finally, numerous results prove the effective performance improvements of ACO based reconfiguration solution in CRN.