Matches in SemOpenAlex for { <https://semopenalex.org/work/W4365788363> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4365788363 abstract "4G/LTE (Long Term Evolution) mobile network deployment has addressed the high capacity problem to establish genuine broadband mobile Internet.5G has overcome some of these difficulties via huge MIMO radio interface. Adopting software-defined networks (SDN) and network function virtualization (NFV) has given flexibility, allowing operators to handle demanding vertical market services.Strong physical layer and flexible network architecture made this feasible. Virtual reality (VR), augmented reality (AR), etc., are bandwidth-intensive. Mobile networks face new applications that require high dependability and near-zero latency, including car communications or Internet-of-Vehicles (IoV).This article describes the role of AI and ML in 5G and beyond to develop a cost-effective, adaptive next-generation mobile network. AI/ML use in network lifecycle is explored. MATLAB mimics these findings." @default.
- W4365788363 created "2023-04-16" @default.
- W4365788363 creator A5020993226 @default.
- W4365788363 creator A5053955192 @default.
- W4365788363 date "2022-11-25" @default.
- W4365788363 modified "2023-09-28" @default.
- W4365788363 title "A Comparative Study of Artificial Intelligence and Machine Learning In 5G Innovation" @default.
- W4365788363 cites W2182663943 @default.
- W4365788363 cites W2336539388 @default.
- W4365788363 cites W2589188683 @default.
- W4365788363 cites W2762077530 @default.
- W4365788363 cites W2807731816 @default.
- W4365788363 cites W2898035736 @default.
- W4365788363 cites W2900669374 @default.
- W4365788363 cites W2947898397 @default.
- W4365788363 cites W2982525692 @default.
- W4365788363 cites W2997437197 @default.
- W4365788363 cites W3014950611 @default.
- W4365788363 cites W3209379105 @default.
- W4365788363 cites W4205985995 @default.
- W4365788363 cites W4214886358 @default.
- W4365788363 cites W4293724514 @default.
- W4365788363 cites W4294647542 @default.
- W4365788363 cites W2085600349 @default.
- W4365788363 doi "https://doi.org/10.1109/incoft55651.2022.10094493" @default.
- W4365788363 hasPublicationYear "2022" @default.
- W4365788363 type Work @default.
- W4365788363 citedByCount "0" @default.
- W4365788363 crossrefType "proceedings-article" @default.
- W4365788363 hasAuthorship W4365788363A5020993226 @default.
- W4365788363 hasAuthorship W4365788363A5053955192 @default.
- W4365788363 hasConcept C106365562 @default.
- W4365788363 hasConcept C111919701 @default.
- W4365788363 hasConcept C120314980 @default.
- W4365788363 hasConcept C153646914 @default.
- W4365788363 hasConcept C153715457 @default.
- W4365788363 hasConcept C154945302 @default.
- W4365788363 hasConcept C193415008 @default.
- W4365788363 hasConcept C207029474 @default.
- W4365788363 hasConcept C2776874963 @default.
- W4365788363 hasConcept C31258907 @default.
- W4365788363 hasConcept C41008148 @default.
- W4365788363 hasConcept C555944384 @default.
- W4365788363 hasConcept C68649174 @default.
- W4365788363 hasConcept C78834623 @default.
- W4365788363 hasConceptScore W4365788363C106365562 @default.
- W4365788363 hasConceptScore W4365788363C111919701 @default.
- W4365788363 hasConceptScore W4365788363C120314980 @default.
- W4365788363 hasConceptScore W4365788363C153646914 @default.
- W4365788363 hasConceptScore W4365788363C153715457 @default.
- W4365788363 hasConceptScore W4365788363C154945302 @default.
- W4365788363 hasConceptScore W4365788363C193415008 @default.
- W4365788363 hasConceptScore W4365788363C207029474 @default.
- W4365788363 hasConceptScore W4365788363C2776874963 @default.
- W4365788363 hasConceptScore W4365788363C31258907 @default.
- W4365788363 hasConceptScore W4365788363C41008148 @default.
- W4365788363 hasConceptScore W4365788363C555944384 @default.
- W4365788363 hasConceptScore W4365788363C68649174 @default.
- W4365788363 hasConceptScore W4365788363C78834623 @default.
- W4365788363 hasLocation W43657883631 @default.
- W4365788363 hasOpenAccess W4365788363 @default.
- W4365788363 hasPrimaryLocation W43657883631 @default.
- W4365788363 hasRelatedWork W1983226038 @default.
- W4365788363 hasRelatedWork W2009111888 @default.
- W4365788363 hasRelatedWork W2020470779 @default.
- W4365788363 hasRelatedWork W2171478200 @default.
- W4365788363 hasRelatedWork W2574819672 @default.
- W4365788363 hasRelatedWork W2972825909 @default.
- W4365788363 hasRelatedWork W3004692512 @default.
- W4365788363 hasRelatedWork W3206874722 @default.
- W4365788363 hasRelatedWork W3213950098 @default.
- W4365788363 hasRelatedWork W4248656285 @default.
- W4365788363 isParatext "false" @default.
- W4365788363 isRetracted "false" @default.
- W4365788363 workType "article" @default.