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Mobile Traffic Classification through Physical Channel Fingerprinting: a
  Deep Learning Approach

Mobile Traffic Classification through Physical Channel Fingerprinting: a Deep Learning Approach

25 October 2019
H. D. Trinh
Ángel Fernández Gambín
L. Giupponi
M. Rossi
Paolo Dini
ArXivPDFHTML

Papers citing "Mobile Traffic Classification through Physical Channel Fingerprinting: a Deep Learning Approach"

3 / 3 papers shown
Title
Scalable and Robust Mobile Activity Fingerprinting via Over-the-Air
  Control Channel in 5G Networks
Scalable and Robust Mobile Activity Fingerprinting via Over-the-Air Control Channel in 5G Networks
Gunwoo Yoon
Byeongdo Hong
24
0
0
19 Sep 2024
Federated Learning for 5G Base Station Traffic Forecasting
Federated Learning for 5G Base Station Traffic Forecasting
V. Perifanis
Nikolaos Pavlidis
R. Koutsiamanis
P. Efraimidis
AI4TS
51
42
0
28 Nov 2022
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a
  Generative Adversarial Neural Network
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
Chaoyun Zhang
Xi Ouyang
P. Patras
43
68
0
07 Nov 2017
1