Cluster-Based Approach for Cellular Traffic Prediction with Machine Learning Methods-Reference-Cited by-同舟云学术

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Cluster-Based Approach for Cellular Traffic Prediction with Machine Learning Methods

Published:2024-06-25 Issue: Volume:1 Page:514-519
ISSN:
Container-title:2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON)
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Author:

Correia Daniel¹,Pinto Filipe Cabral²,Sargento Susana³,Georgieva Petia⁴

Affiliation:

1. Universidade de Aveiro,Dept. of Electronics, Telecommunications and Informatics,Aveiro,Portugal

2. AlticeLabs,Dep. of Exploratory Innovation - New Trends,Aveiro,Portugal

3. Universidade de Aveiro,Instituto de Telecomunicações,Dept. of Electronics, Telecommunications and Informatics,Aveiro,Portugal

4. Universidade de Aveiro,IEETA, Instituto de Telecomunicações,Dept. of Electronics, Telecommunications and Informatics,Aveiro,Portugal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10608458/10608460/10608627.pdf?arnumber=10608627

Reference23 articles.

1. Intelligent 5G: When Cellular Networks Meet Artificial Intelligence

2. DeepRANKPI: Time Series KPIs Prediction in a Live Cellular Network with RNN

3. Citywide Cellular Traffic Prediction Based on Densely Connected Convolutional Neural Networks

4. Spatial-temporal Cellular Traffic Prediction: A Novel Method Based on Causality and Graph Attention Network

5. A Novel CNN-Based Channel Estimation Algorithm in the Presence of Phase Noise and CFO

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