ML-Based Dynamic Scaling and Traffic Forecasting for 5G O-RAN-Reference-Cited by-同舟云学术

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ML-Based Dynamic Scaling and Traffic Forecasting for 5G O-RAN

Published:2023-11-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
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Author:

Ali Khalid¹,Jammal Manar¹

Affiliation:

1. School of Information Technology, York University,Toronto,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10361260/10360496/10361376.pdf?arnumber=10361376

Reference33 articles.

1. O-ran use cases and deployment scenarios;Alliance;White Paper,2020

2. Elastic Virtual Network Function Orchestration Policy Based on Workload Prediction

3. Network Function Virtualization: State-of-the-Art and Research Challenges

4. Elastic virtual network function placement

5. Performance analysis of virtualized network functions on virtualized systems architectures

Cited by 2 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. Network Traffic Prediction in an Edge–Cloud Continuum Network for Multiple Network Service Providers;Electronics;2024-09-04

2. Enhancing Vehicular Networks With Hierarchical O-RAN Slicing and Federated DRL;IEEE Transactions on Green Communications and Networking;2024-09

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