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dc.contributor.authorBitragunta, Sainath-
dc.contributor.authorChamola, Vinay-
dc.date.accessioned2023-03-09T04:19:36Z-
dc.date.available2023-03-09T04:19:36Z-
dc.date.issued2021-09-
dc.identifier.urihttps://ieeexplore.ieee.org/document/9434418-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9580-
dc.description.abstractOptimal allocation of the available spectrum is a crucial requirement of 5G and Beyond (B5G) for achieving higher Quality of Service (QoS) and low-latency. However, in 5G and Beyond, this requirement presents a potential need for dimensioning and managing the spectral resource in the cellular services. In this article, we address the issues of spectral distribution using DAG and Vickrey Clarke Groves (VCG) mechanisms by evaluating with a derived parameter for sustainable revenue and social welfare of the entire network. In particular, we modelled a framework to optimize social welfare of the users and the revenue of the cellular operator by proposing an efficient spectral allocation and pricing mechanism.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectEEEen_US
dc.subjectVCG mechanismen_US
dc.subjectNetwork slicingen_US
dc.subjectOptimizationen_US
dc.subjectSpectrum allocationen_US
dc.subjectRevenueen_US
dc.titleOptimal Spectral Resource Allocation and Pricing for 5G and Beyond: A Game Theoretic Approachen_US
dc.typeArticleen_US
Appears in Collections:Department of Electrical and Electronics Engineering

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