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Works (4)

Deep Learning-based QoS Prediction with Innate Knowledge of the Radio Access Network

2021 IEEE Global Communications Conference (GLOBECOM)
2022-02-03 | Conference paper
DOI: 10.1109/globecom46510.2021.9685405
Contributors: Jose Perdomo; Apostolos Kousaridas; Chan Zhou; Jose F. Monserrat
Source: Self-asserted source
Jose Mauricio Perdomo Zelaya

QoS Prediction for 5G Connected and Automated Driving

IEEE Communications Magazine
2021 | Journal article
DOI: 10.1109/MCOM.110.2100042
WOSUID: WOS:000706831500023
Contributors: Kousaridas, Apostolos; Manjunath, Ramya P.; Perdomo, Jose; Zhou, Chan; Zielinski, Ernst; Schmitz, Steffen; Pfadler, Andreas
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LSTM-based QoS prediction for 5G-enabled Connected and Automated Mobility applications

2021 IEEE 4th 5G World Forum (5GWF)
2021-10 | Conference paper
DOI: 10.1109/5gwf52925.2021.00083
Contributors: Sokratis Barmpounakis; Lina Magoula; Nikolaos Koursioumpas; Ramin Khalili; Jose Mauricio Perdomo; Ramya Panthangi Manjunath
Source: Self-asserted source
Jose Mauricio Perdomo Zelaya
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User Performance in a 5G Multi-connectivity Ultra-Dense Network City Scenario

IEEE Conference on Local Computer Networks
2020 | Conference paper
DOI: 10.1109/LCN48667.2020.9314774
WOSUID: WOS:000674915500019
Contributors: Perdomo, Jose; Ericsson, Marten; Nordberg, Mats; Andersson, Karl
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Peer review (8 reviews for 1 publication/grant)

Review activity for IEEE transactions on mobile computing. (8)
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