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dc.contributor.authorKaneko, Megumi
dc.contributor.authorRandrianantenaina, Itsikiantsoa
dc.contributor.authorDahrouj, Hayssam
dc.contributor.authorElSawy, Hesham
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2020-11-11T06:46:43Z
dc.date.available2020-11-11T06:46:43Z
dc.date.issued2020
dc.identifier.citationKaneko, M., Randrianantenaina, I., Dahrouj, H., Elsawy, H., & Alouini, M.-S. (2020). On the Opportunities and Challenges of NOMA-Based Fog Radio Access Networks: An Overview. IEEE Access, 8, 205467–205476. doi:10.1109/access.2020.3037183
dc.identifier.issn2169-3536
dc.identifier.doi10.1109/ACCESS.2020.3037183
dc.identifier.urihttp://hdl.handle.net/10754/665889
dc.description.abstractFuture generations of wireless networks are expected to provide new services with an unprecedented level of diverse and stringent requirements. Fog Radio Access Network (FRAN) and Non-Orthogonal Multiple Access (NOMA) have emerged as complimentary enablers to meet such requirements. On the one hand, FRAN architecture is designed to reduce the delay caused by the fronthaul link by pushing control and storage to the network edge. On the other hand, in addition to increasing the spectral and energy efficiency and the number of connected devices, NOMA has the potential to improve network latency. This paper overviews the joint benefits of enabling NOMA schemes in an FRAN architecture, by means of examining the applicability and adequateness of the NOMA-based FRAN features in achieving specific objectives of next generation of mobile networks, mainly those related to enhanced mobile broadband (eMBB), massive machine type communications (mMTC), and ultra-reliable low latency communication (URLLC). The paper further depicts the challenges and future research directions that must be addressed in order to meet such opportunities. This work was funded in part by King Abdullah University of Science and Technology (KAUST) and by the Grant-in-Aid for Scientific Research (Kakenhi) no. 17K06453 from the Ministry of Education, Science, Sports, and Culture of Japan and the NII MoU grants, and in part by the Center of Excellence for NEOM Research at KAUST.
dc.description.sponsorshipThis work was funded in part by King Abdullah University of Science and Technology (KAUST) and by the Grant-in-Aid for Scientific Research (Kakenhi) no. 17K06453 from the Ministry of Education, Science, Sports, and Culture of Japan and the NII MoU grants, and in part by the Center of Excellence for NEOM Research at KAUST.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9253638/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9253638
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectFRAN
dc.subjectCRAN
dc.subjectNOMA
dc.subjectOMA
dc.subjectBeyond 5G
dc.subjectMachine Learning
dc.subjectDeep Reinforcement Learning
dc.titleOn the Opportunities and Challenges of NOMA-based Fog Radio Access Networks: An Overview
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Access
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionNational Institute of Informatics (NII), Tokyo, 101-8430, Japan.
dc.contributor.institutionKing Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.
kaust.personRandrianantenaina, Itsikiantsoa
kaust.personDahrouj, Hayssam
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2020-11-11T06:47:38Z
kaust.acknowledged.supportUnitCenter of Excellence for NEOM Research


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