A Multivariate Approach for Spatiotemporal Mobile Data Traffic Prediction-Reference-Cited by-同舟云学术

A Multivariate Approach for Spatiotemporal Mobile Data Traffic Prediction

Published:2022-06-21 Issue: Volume: Page:
ISSN:
Container-title:ITISE 2022
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Author:

Shawel Bethelhem S.^ORCID,Mare Endale,Debella Tsegamlak T.^ORCID,Pollin Sofie,Woldegebreal Dereje H.^ORCID

Publisher

MDPI

Link

https://www.mdpi.com/2673-4591/18/1/10/pdf

Reference20 articles.

1. Almost One Zettabyte of Mobile Data Traffic in 2022—Cisco. Telecoms.com, 20 February 2019 https://telecoms.com/495666/almost-one-zettabyte-of-mobile-data-traffic-in-2022-cisco/

2. Data Demand Explained. June 2015 https://www.gsma.com/spectrum/wp-content/uploads/2015/06/GSMA-Data-Demand-Explained-June-2015.pdf

3. Prediction of Data Traffic in Telecom Networks based on Deep Neural Networks

4. Deep Neural Network for Multivariate Time-Series Forecasting;Bhanja;Proceedings of the 2nd International Conference on Frontiers in Computing and Systems,2021

5. Traffic forecasting in cellular networks using the LSTM RNN;Dalgkitsis;Proceedings of the 22nd Pan-Hellenic Conference on Informatics,2018

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