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Atest-bed evaluation of cognitive hybrid functionality for future hyper-dense networks

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dc.contributor.authorHashim W.en_US
dc.contributor.authorIsmail A.F.en_US
dc.contributor.authorHasan M.K.en_US
dc.contributor.authorAnas N.M.en_US
dc.contributor.authorBadron K.en_US
dc.contributor.authorid11440260100en_US
dc.contributor.authorid36602773900en_US
dc.contributor.authorid55057479600en_US
dc.contributor.authorid16021375300en_US
dc.contributor.authorid35387519800en_US
dc.date.accessioned2023-05-29T06:11:27Z
dc.date.available2023-05-29T06:11:27Z
dc.date.issued2016
dc.description.abstractThis paper proposes a cognitive hybrid function mechanism to intelligently select reliable network and efficiently adjust transmission power while maintaining good quality of service. This combination defines our proposed hybrid functionality. It can be applied to an access point that has multiple choices of network and transmission power modification. By employing such mechanism in closed-proximity network, we observe performances in terms of optimized speed and throughput of the user device. Results were obtained from several empirical laboratory studies by incorporating this mechanism into a hardware in contrast to many studies that just adhered to computer simulations. It was found that selecting reliable network had shown a better optimized speed performance up to 37% improvement as compared without such function. In terms of power adjustment, our evaluation of this mechanism can maintain the same level of throughput at reduced power of about 5 dB than the previous higher transmit power. � 2016 American Scientific Publishers. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1166/asl.2016.7087
dc.identifier.epage2772
dc.identifier.issue10
dc.identifier.scopus2-s2.0-85009111573
dc.identifier.spage2769
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85009111573&doi=10.1166%2fasl.2016.7087&partnerID=40&md5=ed5b1499b318ed361295e03f12f40fc2
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22640
dc.identifier.volume22
dc.publisherAmerican Scientific Publishersen_US
dc.sourceScopus
dc.sourcetitleAdvanced Science Letters
dc.titleAtest-bed evaluation of cognitive hybrid functionality for future hyper-dense networksen_US
dc.typeArticleen_US
dspace.entity.typePublication
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