A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management-Reference-Cited by-同舟云学术

A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management

Published:2024-01-03 Issue: Volume: Page:
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Container-title:2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS)
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Author:

Min Ziran¹,Liu Ziteng¹,Kang Zhuangwei¹,Zhou Shuang¹,Gokhale Swapna²,Shekhar Shashank³,Mahmoudi Charif³,Gokhale Aniruddha¹

Affiliation:

1. Vanderbilt University,Dept. of CS,Nashville,TN,USA

2. University of Connecticut,Dept. of CSE,Storrs,CT,USA

3. Siemens Technology,Princeton,NJ,USA,08540

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10426746/10426785/10427071.pdf?arnumber=10427071

Reference22 articles.

1. 5g services market by vertical (smart cities, connected vehicles, connected factories, and broadband services), application (embb, mmtc, and urllc), service (platform and software), and region - global forecast to 2027,2021

2. On Patterns for Decentralized Control in Self-Adaptive Systems

3. Cicflowmeter;Lashkari,2017

4. End-to-End Efficient Heuristic Algorithm for 5G Network Slicing

5. Towards 5G network slicing for vehicular ad-hoc networks: An end-to-end approach

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1. Slice-aware 5G network orchestration framework based on dual-slice isolation and management strategy (D-SIMS);Scientific Reports;2024-08-11

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