Software-defined Dynamic 5G Network Slice Management for Industrial Internet of Things

Author:

Min Ziran1,Shekhar Shashank2,Mahmoudi Charif2,Formicola Valerio3,Gokhale Swapna4,Gokhale Aniruddha1

Affiliation:

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

2. Siemens Technology,Princeton,USA,NJ 08540

3. California Polytechnic in Pomona,Dept. of ECE,Pomona,CA,USA

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

Publisher

IEEE

Cited by 5 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. Enhancing 5G network slicing for IoT traffic with a novel clustering framework;Pervasive and Mobile Computing;2024-11

2. ULTRA-FAB5G: Unleashing the Potential of 5G for Industrial Digitalization;2024 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit);2024-06-03

3. A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management;2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS);2024-01-03

4. A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications;2023 IEEE International Conference on Smart Computing (SMARTCOMP);2023-06

5. Managing and Optimizing 5G & Beyond Network Resources for Multi-Task Digital Twin Applications in Industry 4.0;2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC);2023-05

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