Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks-Reference-Cited by-同舟云学术

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Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks

Published:2021 Issue: Volume: Page:1-1
ISSN:2473-2400
Container-title:IEEE Transactions on Green Communications and Networking
language:
Short-container-title:IEEE Trans. on Green Commun. Netw.

Author:

Azari Amin,Salehi Fateme,Papapetrou Panagiotis,Cavdar Cicek

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Renewable Energy, Sustainability and the Environment

Link

http://xplorestaging.ieee.org/ielx7/7511293/7557027/09611038.pdf?arnumber=9611038

Cited by 6 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. Digital Twin for Transportation Big Data: A Reinforcement Learning-Based Network Traffic Prediction Approach;IEEE Transactions on Intelligent Transportation Systems;2024-01

2. The Two Faces of AI in Green Mobile Computing: A Literature Review;2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA);2023-09-06

3. Short-Term Mobile Network Traffic Forecasting Using Seasonal ARIMA and Holt-Winters Models;Future Internet;2023-08-28

4. Mobile traffic classification through burst traffic statistical features;2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring);2023-06

5. Beyond 5G Fronthaul Based on FSO Using Spread Spectrum Codes and Graphene Modulators;Sensors;2023-04-07

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