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dc.contributor.authorCelik, Abdulkadir
dc.contributor.authorTsai, Ming-Cheng
dc.contributor.authorRadaydeh, Redha M.
dc.contributor.authorAl-Qahtani, Fawaz S.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2019-07-22T06:16:19Z
dc.date.available2019-07-22T06:16:19Z
dc.date.issued2019-07-09
dc.identifier.citationCelik, A., Tsai, M.-C., Radaydeh, R. M., Al-Qahtani, F. S., & Alouini, M.-S. (2019). Distributed User Clustering and Resource Allocation for Imperfect NOMA in Heterogeneous Networks. IEEE Transactions on Communications, 67(10), 7211–7227. doi:10.1109/tcomm.2019.2927561
dc.identifier.doi10.1109/TCOMM.2019.2927561
dc.identifier.urihttp://hdl.handle.net/10754/656151
dc.description.abstractIn this paper, we propose a distributed cluster formation (CF) and resource allocation (RA) framework for non-ideal non-orthogonal multiple access (NOMA) schemes in heterogeneous networks. The imperfection of the underlying NOMA scheme is due to the receiver sensitivity and interference residue from non-ideal successive interference cancellation (SIC), which is generally characterized by a fractional error factor (FEF). Our analytical findings first show that several factors have a significant impact on the achievable NOMA gain. Then, we investigate fundamental limits on NOMA cluster size as a function of FEF levels, cluster bandwidth, and quality of service (QoS) demands of user equipments (UEs). Thereafter, a clustering algorithm is developed by taking feasible cluster size and channel gain disparity of UEs into account. Finally, we develop a distributed α-fair RA framework where α governs the trade-off between maximum throughput and proportional fairness objectives. Based on the derived closed-form optimal power levels, the proposed distributed solution iteratively updates bandwidths, clusters, and UEs’ transmission powers. Numerical results demonstrate that proposed solutions deliver a higher spectral and energy efficiency than traditionally adopted basic NOMA cluster size of two. We also show that an imperfect NOMA cannot always provide better performance than orthogonal multiple access under certain conditions. Finally, our numerical investigations reveal that NOMA gain is maximized under downlink/uplink decoupled (DUDe) UE association.
dc.description.sponsorshipThis work was supported by NPRP from the Qatar National Research Fund under grant no. 8-1545-2-657. A part of this paper has been presented at IEEE GLOBECOM 2018, Singapore [1].
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8758326/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8758326
dc.rights(c) 2019 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.subjectDownlink uplink decoupling
dc.subjectalpha fairness
dc.subjectproportional fairness
dc.subjectimperfect SIC
dc.subjectresidual interference
dc.titleDistributed User Clustering and Resource Allocation for Imperfect NOMA in Heterogeneous Networks
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Communications
dc.eprint.versionPost-print
dc.contributor.institutionElectrical Engineering Program, Department of Engineering and Technology, Texas A& M University-Commerce,, Commerce, TX 75428 USA.
dc.contributor.institutionResearch, Development, Innovation (RDI) Division of Qatar Foundation, Doha, Qatar.
kaust.personCelik, Abdulkadir
kaust.personTsai, Ming-Cheng
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2019-07-22T06:17:33Z
dc.date.published-online2019-07-09
dc.date.published-print2019


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