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dc.contributor.authorAlqerm, Ismail
dc.contributor.authorShihada, Basem
dc.date.accessioned2015-04-09T06:34:11Z
dc.date.available2015-04-09T06:34:11Z
dc.date.issued2014-05
dc.identifier.citationAlqerm, I., & Shihada, B. (2014). Adaptive Decision-Making Scheme for Cognitive Radio Networks. 2014 IEEE 28th International Conference on Advanced Information Networking and Applications. doi:10.1109/aina.2014.41
dc.identifier.doi10.1109/AINA.2014.41
dc.identifier.urihttp://hdl.handle.net/10754/362476
dc.description.abstractRadio resource management becomes an important aspect of the current wireless networks because of spectrum scarcity and applications heterogeneity. Cognitive radio is a potential candidate for resource management because of its capability to satisfy the growing wireless demand and improve network efficiency. Decision-making is the main function of the radio resources management process as it determines the radio parameters that control the use of these resources. In this paper, we propose an adaptive decision-making scheme (ADMS) for radio resources management of different types of network applications including: power consuming, emergency, multimedia, and spectrum sharing. ADMS exploits genetic algorithm (GA) as an optimization tool for decision-making. It consists of the several objective functions for the decision-making process such as minimizing power consumption, packet error rate (PER), delay, and interference. On the other hand, maximizing throughput and spectral efficiency. Simulation results and test bed evaluation demonstrate ADMS functionality and efficiency.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6838682
dc.rights(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.titleAdaptive Decision-Making Scheme for Cognitive Radio Networks
dc.typeConference Paper
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentNetworks Laboratory (NetLab)
dc.identifier.journal2014 IEEE 28th International Conference on Advanced Information Networking and Applications
dc.conference.date13 May 2014 through 16 May 2014
dc.conference.name28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014
dc.conference.locationVictoria, BC
dc.eprint.versionPost-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personShihada, Basem
kaust.personAlqerm, Ismail
refterms.dateFOA2018-06-13T16:46:17Z


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