Proactive ML-Assisted and Quality-Driven Slice Application Service Management to Keep QoE in 5G Mobile Networks-Reference-Cited by-同舟云学术

Proactive ML-Assisted and Quality-Driven Slice Application Service Management to Keep QoE in 5G Mobile Networks

Published:2023-11-07 Issue: Volume: Page:
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Container-title:2023 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)
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Author:

Silva Felipe S. Dantas¹,Bessa Ayuri¹,Silva Sérgio¹,Ferino Samuel¹,Paiva Pablo¹,Medeiros Marcos¹,Silva Lucas¹,Neto José¹,Costa Kevin¹,Santos Charles¹,Maciel Douglas¹,Silva Lucileide¹,Inoue Anderson¹,Immich Roger¹,Aranha Eduardo¹,Martins Allan¹,Sousa Vicente¹,Kulesza Uirá¹,Fernandes Marcelo¹,Salvador Marcos¹,Pupio Guilherme¹,Fontes Ramon¹,Neto Augusto¹

Affiliation:

1. Federal University of Rio Grande do Norte (UFRN),Natal,Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10329417/10329586/10329589.pdf?arnumber=10329589

Reference8 articles.

1. Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions

2. NECOS Project: Towards Lightweight Slicing of Cloud Federated Infrastructures

3. The NECOS Approach to End-to-End Cloud-Network Slicing as a Service

4. Network Slicing Mobility Aware Control to Assist Handover Decisions on e-Health 5G Use Cases

5. QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

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