Traffic forecasting in cellular networks using the LSTM RNN-Reference-Cited by-同舟云学术

Traffic forecasting in cellular networks using the LSTM RNN

Published:2018-11-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd Pan-Hellenic Conference on Informatics
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Author:

Dalgkitsis Anestis¹,Louta Malamati¹,Karetsos George T.²

Affiliation:

1. University of Western Macedonia, Kozani, Greece

2. TEI of Thessaly, Larissa, Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3291533.3291540

Reference19 articles.

1. Energy Savings through Dynamic Base Station Switching in Cellular Wireless Access Networks

2. The predictability of cellular networks traffic

3. Hyojoon Kim and Nick Feamster. Improving network management with software defined networking. 51:114--119 02 2013. Hyojoon Kim and Nick Feamster. Improving network management with software defined networking. 51:114--119 02 2013.

4. Jian Liu. Fractal network traffic analysis with applications. PhD thesis School of Electrical and Computer Engineering at Georgia Institute of Technology 2006. Jian Liu. Fractal network traffic analysis with applications. PhD thesis School of Electrical and Computer Engineering at Georgia Institute of Technology 2006.

5. Primary Users in Cellular Networks: A Large-Scale Measurement Study

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