Matches in SemOpenAlex for { <https://semopenalex.org/work/W3217120363> ?p ?o ?g. }
- W3217120363 endingPage "8408" @default.
- W3217120363 startingPage "8387" @default.
- W3217120363 abstract "The COVID-19 outbreak has stimulated the digital transformation of antiquated healthcare system to a smart hospital, enabling the personalised and remote healthcare services. To augment the functionalities of these intelligent healthcare systems, 5G & B5G heterogeneous network has emerged as a robust and reliable solution. But the pivotal challenge for 5G & B5G connectivity solutions is to ensure flexible and agile service orchestration with acknowledged Quality of Experience (QoE). However, the existing radio access technology (RAT) selection strategies are incapacitated in terms of QoE provisioning and Quality of Service (QoS) maintenance. Therefore, an intelligent QoE aware RAT selection architecture based on software-defined wireless networking (SDWN) and edge computing has been proposed for 5G-enabled healthcare network. The proposed model leverages the principles of invalid action masking and multi-agent reinforcement learning to allow faster convergence to QoE optimised RAT selection policy. The analytical evaluation validates that the proposed scheme outperforms the other existing schemes in terms of enhancing personalised user-experience with efficient resource utilisation." @default.
- W3217120363 created "2021-12-06" @default.
- W3217120363 creator A5033784763 @default.
- W3217120363 creator A5058589687 @default.
- W3217120363 date "2021-11-26" @default.
- W3217120363 modified "2023-10-01" @default.
- W3217120363 title "5GhNet: an intelligent QoE aware RAT selection framework for 5G-enabled healthcare network" @default.
- W3217120363 cites W1975461060 @default.
- W3217120363 cites W1997858594 @default.
- W3217120363 cites W2136894216 @default.
- W3217120363 cites W2294511912 @default.
- W3217120363 cites W2518741681 @default.
- W3217120363 cites W2524914692 @default.
- W3217120363 cites W2556076181 @default.
- W3217120363 cites W2556274333 @default.
- W3217120363 cites W2564397744 @default.
- W3217120363 cites W2586923239 @default.
- W3217120363 cites W2596290922 @default.
- W3217120363 cites W2600952791 @default.
- W3217120363 cites W2615506785 @default.
- W3217120363 cites W2730819250 @default.
- W3217120363 cites W2746553466 @default.
- W3217120363 cites W2766863773 @default.
- W3217120363 cites W2767010314 @default.
- W3217120363 cites W2767228329 @default.
- W3217120363 cites W2786630558 @default.
- W3217120363 cites W2795032681 @default.
- W3217120363 cites W2795613961 @default.
- W3217120363 cites W2795832387 @default.
- W3217120363 cites W2806326447 @default.
- W3217120363 cites W2888896501 @default.
- W3217120363 cites W2888930872 @default.
- W3217120363 cites W2892371173 @default.
- W3217120363 cites W2892483155 @default.
- W3217120363 cites W2896932575 @default.
- W3217120363 cites W2902137359 @default.
- W3217120363 cites W2907960848 @default.
- W3217120363 cites W2913020628 @default.
- W3217120363 cites W2919339757 @default.
- W3217120363 cites W2920711620 @default.
- W3217120363 cites W2922547929 @default.
- W3217120363 cites W2926701059 @default.
- W3217120363 cites W2935920497 @default.
- W3217120363 cites W2942456137 @default.
- W3217120363 cites W2963556501 @default.
- W3217120363 cites W2964044673 @default.
- W3217120363 cites W2967435789 @default.
- W3217120363 cites W2968056872 @default.
- W3217120363 cites W2968782695 @default.
- W3217120363 cites W2970671666 @default.
- W3217120363 cites W2971374361 @default.
- W3217120363 cites W2973251255 @default.
- W3217120363 cites W2982382800 @default.
- W3217120363 cites W2987960318 @default.
- W3217120363 cites W2989573880 @default.
- W3217120363 cites W3011329260 @default.
- W3217120363 cites W3015501413 @default.
- W3217120363 cites W3021959079 @default.
- W3217120363 cites W3022003650 @default.
- W3217120363 cites W3035089605 @default.
- W3217120363 cites W3052093624 @default.
- W3217120363 cites W3081858165 @default.
- W3217120363 cites W3088315509 @default.
- W3217120363 cites W3100366369 @default.
- W3217120363 cites W3102812201 @default.
- W3217120363 cites W3108751335 @default.
- W3217120363 cites W3116067625 @default.
- W3217120363 cites W3164726772 @default.
- W3217120363 cites W1836239905 @default.
- W3217120363 doi "https://doi.org/10.1007/s12652-021-03606-x" @default.
- W3217120363 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8617375" @default.
- W3217120363 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34849173" @default.
- W3217120363 hasPublicationYear "2021" @default.
- W3217120363 type Work @default.
- W3217120363 sameAs 3217120363 @default.
- W3217120363 citedByCount "4" @default.
- W3217120363 countsByYear W32171203632022 @default.
- W3217120363 countsByYear W32171203632023 @default.
- W3217120363 crossrefType "journal-article" @default.
- W3217120363 hasAuthorship W3217120363A5033784763 @default.
- W3217120363 hasAuthorship W3217120363A5058589687 @default.
- W3217120363 hasBestOaLocation W32171203631 @default.
- W3217120363 hasConcept C108037233 @default.
- W3217120363 hasConcept C111919701 @default.
- W3217120363 hasConcept C120314980 @default.
- W3217120363 hasConcept C172191483 @default.
- W3217120363 hasConcept C2779333187 @default.
- W3217120363 hasConcept C2781055072 @default.
- W3217120363 hasConcept C31258907 @default.
- W3217120363 hasConcept C41008148 @default.
- W3217120363 hasConcept C5119721 @default.
- W3217120363 hasConcept C555944384 @default.
- W3217120363 hasConcept C76155785 @default.
- W3217120363 hasConcept C79974875 @default.
- W3217120363 hasConceptScore W3217120363C108037233 @default.
- W3217120363 hasConceptScore W3217120363C111919701 @default.
- W3217120363 hasConceptScore W3217120363C120314980 @default.
- W3217120363 hasConceptScore W3217120363C172191483 @default.