Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/15905
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dc.contributor.authorBaghel, Amiten_US
dc.date.accessioned2025-04-22T17:45:32Z-
dc.date.available2025-04-22T17:45:32Z-
dc.date.issued2025-
dc.identifier.citationBaghel, A., Parihar, A. S., Bhatia, V., Krejcar, O., & Choi, K. (2025). On Performance of NOMA-empowered HCN: A Stochastic Geometry Approach Considering Imperfect SIC and CSI. IEEE Wireless Communications Letters. https://doi.org/10.1109/LWC.2025.3559112en_US
dc.identifier.issn2162-2337-
dc.identifier.otherEID(2-s2.0-105002459681)-
dc.identifier.urihttps://doi.org/10.1109/LWC.2025.3559112-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/15905-
dc.description.abstractIn a multi-tier heterogeneous cellular network (HCN) with macro-base station (MBS) and pico-base station (PBS), non-orthogonal multiple access (NOMA) is used to boost spectral efficiency and achieve higher data rates in the sixth-generation wireless networks. This study investigates HCN-NOMA performance under practical consideration of imperfect successive interference cancellation (i-SIC) and imperfect channel state information (i-CSI) using stochastic geometry. This study compares OMA and NOMA, evaluating outage probability, asymptotic outage probability, system throughput, and energy efficiency for both perfect and i-SIC scenarios in multi-tier HCN. Despite i-SIC and i-CSI in NOMA, noticeable performance improvements of up to 57% are observed. © 2012 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceIEEE Wireless Communications Lettersen_US
dc.subjectchannel estimation erroren_US
dc.subjectheterogeneous cellular networken_US
dc.subjectNon-orthogonal multiple accessen_US
dc.subjectoutage probabilityen_US
dc.subjectsuccessive interference cancellationen_US
dc.titleOn Performance of NOMA-empowered HCN: A Stochastic Geometry Approach Considering Imperfect SIC and CSIen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Electrical Engineering

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