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- W4292862875 abstract "Subscribers seeking to access services utilize network slices to transmit different services across the future communication networks. Indeed, network slices should be made available to subscribers considering their preferences with focus on enterprise and non-enterprise subscribers. In this case, a network slice is an abstraction of the bandwidth and computing resources required for call execution in a network. However, the quality of service preferences may not be met if enterprise subscribers requiring premium access to network slices are not considered. It is also important to ensure that non-enterprise subscribers do not suffer high levels of call blocking or call dropping. The presented research proposes the use of buffering in the context of future networks incorporating network slices and an over-provisioned buffering capacity. Performance analysis is done using Markov approach. Evaluation shows that the introduction of the buffer reduces the call blocking probability and call dropping probability by 70.6% and 66.5%, respectively" @default.
- W4292862875 created "2022-08-24" @default.
- W4292862875 creator A5031107459 @default.
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- W4292862875 date "2022-08-04" @default.
- W4292862875 modified "2023-10-16" @default.
- W4292862875 title "Analysis of Buffer Influence on Network Slices Perfomance using Markov Chains" @default.
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- W4292862875 doi "https://doi.org/10.1109/icabcd54961.2022.9856305" @default.
- W4292862875 hasPublicationYear "2022" @default.
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