Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/11433
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dc.contributor.authorUpadhyay, Prabhat Kumaren_US
dc.date.accessioned2023-03-07T11:46:14Z-
dc.date.available2023-03-07T11:46:14Z-
dc.date.issued2022-
dc.identifier.citationMouni, N. S., Reddy, P. M., Kumar, A., & Upadhyay, P. K. (2022). α-Fairness based user pairing for downlink NOMA systems with imperfect SIC. Paper presented at the 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings, 1679-1684. doi:10.1109/GLOBECOM48099.2022.10001663 Retrieved from www.scopus.comen_US
dc.identifier.isbn978-1665435406-
dc.identifier.otherEID(2-s2.0-85146966965)-
dc.identifier.urihttps://doi.org/10.1109/GLOBECOM48099.2022.10001663-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/11433-
dc.description.abstractNon-orthogonal multiple access (NOMA) is consid-ered as one of the predominant multiple access techniques for next-generation cellular networks. We consider a 2-user pair downlink NOMA system with imperfect successive interference cancellation (SIC). We consider bounds on the power allocation factors and then formulate the power allocation as an optimization problem to achieve α-Fairness among the paired users. We show that α-Fairness based power allocation factor coincides with lower bound on power allocation factor in case of perfect SIC and alpha > 2. Further, as long as the proposed criterion is satisfied, it converges to the upper bound with increasing imperfection in SIC. Similarly, we show that for 0 < alpha < 1, the optimal power allocation factor coincides with the derived lower bound on power allocation. Based on these observations, we then propose a low complexity sub-optimal algorithm. Through extensive simulations, we analyze the performance of the proposed algorithm and compare it against the state-of-the-art algorithms. We show that the proposed optimal and sub-optimal algorithms ensure that each user achieves a rate at least equivalent to its orthogonal multiple access counterparts. Further, we also show significant improvements in terms of fairness with the proposed algorithm as compared to the state-of-the-art algorithms. © 2022 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.source2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedingsen_US
dc.subjectComputational complexityen_US
dc.subjectEnergy efficiencyen_US
dc.subjectMultiple access interferenceen_US
dc.subjectFairnessen_US
dc.subjectImperfect successive interference can-cellationen_US
dc.subjectLow bounden_US
dc.subjectMultiple accessen_US
dc.subjectMultiple access systemsen_US
dc.subjectNon-orthogonalen_US
dc.subjectNon-orthogonal multiple accessen_US
dc.subjectPower allocationsen_US
dc.subjectSpectral efficienciesen_US
dc.subjectSuccessive interferencesen_US
dc.subjectSpectrum efficiencyen_US
dc.titleα-Fairness based User Pairing for Downlink NOMA Systems with Imperfect SICen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Electrical Engineering

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