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dc.contributor.authorZhang, Liang
dc.contributor.authorMa, Guoqing
dc.contributor.authorAl-Ghadhban, Amer
dc.contributor.authorDang, Shuping
dc.contributor.authorShihada, Basem
dc.date.accessioned2020-12-27T08:46:38Z
dc.date.available2020-12-27T08:46:38Z
dc.date.issued2020
dc.identifier.citationZhang, L., Ma, G., Al-Ghadhban, A., Dang, S., & Shihada, B. (2020). ICAQ: Adaptive QoS System for 5G and Beyond Applications. 2020 IEEE 20th International Conference on Communication Technology (ICCT). doi:10.1109/icct50939.2020.9295652
dc.identifier.isbn978-1-7281-8142-4
dc.identifier.issn2576-7844
dc.identifier.doi10.1109/ICCT50939.2020.9295652
dc.identifier.urihttp://hdl.handle.net/10754/666661
dc.description.abstractManagement of network becomes increasingly difficult due to the rapid proliferation of the Internet of Things (IoT) and heterogeneous demands of applications. To mitigate congestion and maintain a high quality of service (QoS) for application users, we propose an importance-oriented clustering-based QoS system named ICAQ. The system uses unsupervised machine learning to determine and differentiate different application flow priority. The system is proposed to be a generic to both network core features and the application features. An environment monitoring IoT application is implemented as an example to demonstrate the expressive power of ICAQ. Experimental results have verified the effectiveness and efficiency of ICAQ and show a promising potential for using ICAQ for the QoS management of IoT applications in 5G and beyond networks.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9295652/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9295652/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9295652
dc.rightsArchived with thanks to IEEE
dc.subjectFeature clustering
dc.subjectsoftware-defined network (SDN)
dc.subjectquality of service (QoS) management
dc.subjectInternet of Things (IoT)
dc.titleICAQ: Adaptive QoS System for 5G and Beyond Applications
dc.typeConference Paper
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentElectrical Engineering
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer Science
dc.conference.date28-31 Oct. 2020
dc.conference.name2020 IEEE 20th International Conference on Communication Technology (ICCT)
dc.conference.locationNanning
dc.eprint.versionPost-print
dc.contributor.institutionUniversity of Hail,College of Engineering,Electrical Engineering Department,Hail,Saudi Arabia,55476
kaust.personZhang, Liang
kaust.personMa, Guoqing
kaust.personDang, Shuping
kaust.personShihada, Basem
refterms.dateFOA2020-12-27T08:49:23Z


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