Performance Assessment of an ITU-T Compliant Machine Learning Enhancements for 5 G RAN Network Slicing-Reference-Cited by-同舟云学术

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Performance Assessment of an ITU-T Compliant Machine Learning Enhancements for 5 G RAN Network Slicing

Published:2022 Issue: Volume: Page:1-17
ISSN:1536-1233
Container-title:IEEE Transactions on Mobile Computing
language:
Short-container-title:IEEE Trans. on Mobile Comput.

Author:

Yarkina Natalia¹,Gaydamaka Anna¹^ORCID,Moltchanov Dmitri¹^ORCID,Koucheryavy Yevgeni¹

Affiliation:

1. Department of Electrical Engineering and Communications, Tampere University, Tampere, Finland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Software

Link

http://xplorestaging.ieee.org/ielx7/7755/4358975/09982660.pdf?arnumber=9982660

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evidential reasoning rule with dynamic reliability for performance assessment of wireless sensor network;ICT Express;2024-08

2. Trust Management and Resource Optimization in Edge and Fog Computing Using the CyberGuard Framework;Sensors;2024-07-02

3. Maximize the Long-Term Average Revenue of Network Slice Provider via Admission Control Among Heterogeneous Slices;IEEE/ACM Transactions on Networking;2023

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