Wireless Traffic Usage Forecasting Using Real Enterprise Network Data: Analysis and Methods-Reference-Cited by-同舟云学术

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Wireless Traffic Usage Forecasting Using Real Enterprise Network Data: Analysis and Methods

Published:2020 Issue: Volume:1 Page:777-797
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Sone Su P.,Lehtomaki Janne J.,Khan Zaheer

Funder

Infotech Oulu through the framework of digital solutions in sensing and interactions

Academy of Finland 6Genesis Flagship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Link

http://xplorestaging.ieee.org/ielx7/8782661/8816718/09108216.pdf?arnumber=9108216

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3. Efficient Network Resource Management for Improving Radio Access Through Machine Learning Approach in 5G Networks;Journal of The Institution of Engineers (India): Series B;2024-06-15

4. Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction;2024 IFIP Networking Conference (IFIP Networking);2024-06-03

5. T-For: An Adaptable Forecasting Model for Throughput Performance;IEEE Transactions on Network and Service Management;2024-06

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